23 Modules. 4 Projects.
#1 Post Graduation in Artificial Intelligence Course in Mumbai, India
Trained 18000+ professionals in India
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Classroom & Online Mentorship
Batch Starting: 14 Oct 2024
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Techstack Academy & Orangus
Affiliation
Orangus India
12 Months
Recommended 10-12 hrs/week
14 Oct 2024
Program Start Date
EMI options
Starting at Rs. 11,000
India’s #1 Post Graduation in Artificial Intelligence Program in Associated Partner with:
Curriculum
At Techstack, we believe in providing a full-fledged course of your desire where our industry experts have designed a top-notch curriculum just for you.
- Post Graduation in AI Curriculum (40 Module)
Introduction to AI
- 3 Quizzes
- 1 Project
- Basics of AI
- AI applications
- History of AI foundation
- AI structure
- What are the issues and ethical concerns related AI
- What is articulate advice
- What is data science and ML
- AI functional areas
- AI related tools and techniques
- How to analyze the data
- Artificial Intelligence is the imitation of human intelligence by machines and specially by computers. Particular examples to AI applications and expert systems are natural language processing, speech recognition, and machine learning. The fundamental goal of AI is to let computers accomplish such tasks like decision-making and problem solving, as well as perception, and understanding humans' communication. AI programming is also known as heuristic programming machine intelligence, heuristic programming, or the imitation of cognition. Learn AI applications with us in our latest course of Post Graduation Program in Artificial Intelligence at Techstack Academy.
Introduction to Analytics
- 3 Quizzes
- 1 Project
- Basics of Analytics
- Analytics types
- What is the importance of analytics in businesses
- Which organizations using business analytics
- What is data and analytics
- Data types of data dictionary
- What is data handling
- How to business data with excel
- What is the procedure to perform Business Analytics?
- Tools and techniques related Business Analytics
- Analytics helps businesses and organizations in reducing risk. They assist in making the best decisions based on the available information, including customer preferences, trends and more they can help companies reduce their short and long-term risks. Business analytics include formulating marketing strategies to increase sales, enhancing efficiency in the financial sector and improving productivity, streamlining processes and utilizing predictive analytics. Learn data and analytics with data handling applications in this module of post graduation program in artificial intelligence at Techstack Academy with our advanced trainers.
Introduction to Excel Environment
- 3 Quizzes
- 1 Project
- What is data circulation in excel
- How to format data calculation
- Basics of Excel interface
- Functions related to MS Excel
- Explain sorting, filtering and validation MS
- What are excel charts
- What is pivot table
- Learn about Data Tools Panel
- Macro Recording Basics
- MS Excel Features
- Microsoft Excel is a spreadsheet designed in collaboration with Microsoft to run on multiple platforms like Windows, macOS, Android and iOS. It comes with graphing, calculation instruments, pivot tables and the macro programming language known as Visual Basic for Applications (VBA). Excel is an integral part of Microsoft Office suite of software. Microsoft Excel is the industry's most popular spreadsheet application which is utilized by millions of users around the globe. Learn how to handle excel sheets and what are the new functions of excel in our exclusive post graduation course in artificial intelligence in Mumbai at Techstack Academy.
Dashboard Designing in Excel
- 3 Quizzes
- 1 Project
- Dashboard Basics
- What are trends, and scenarios
- Techniques related to advanced charting
- What is designing sample dashboard
- What are controls
- Dashboard designing tricks and tips
- Tutorial related excel dashboard
- What is representation of data
- How to organize data
- How to check-on designed dashboard
- Dashboards consist of charts, tables, gauges, numbers, and other controls. They can be utilized in all industries, for virtually and any kind of use. You can create a dashboard for your project or marketing dashboard, financial dashboard, and much more. Dashboards monitor KPIs as well as metrics and other important information. They offer a high-level overview of the work you do, assisting to make quick decisions while keeping everyone informed. Learn with us at Techstack how to make it easier to understand complicated data and give an overview of your current performance or status in real-time with the help of dashboard designing. We have designed our post graduation course in artificial intelligence with all important modules used in current industries.
Basics of statistics
- 3 Quizzes
- 1 Project
- Data types related to statistics
- What are random varieties
- What is probability
- Explain applications
- What is probability distribution
- Explain graphic representation
- How to use data for analysis
- What is discrete probability distribution
- What is computing probability from normal distribution central limit
- Sampling theorem
- Statistical analysis helps in finding some meaning in the seemingly meaningless numbers. Therefore"statistics" or "statistic" is nothing but the numerical value in which you can define a specific property of your set of data. The use of statistical methods is primarily to ensure that the data is correctly interpreted. Learn how to make graphical representation with the help of numbers and data and what is the sampling theorem. Techstack Academy helps students in all possible ways and provides the best quality programs in the market. Learn how to use the data for different analysis in this post graduation program in artificial intelligence course in Mumbai.
Introduction to Data Science
- 3 Quizzes
- 1 Project
- Explain analytics and data science
- Basics related analytics and data science
- How analytics becoming popular day by day
- What are the applications of analytics
- Explain analytics vs data warehousing
- Explain MIS reporting
- Analytics related terminologies
- What are the different analytics methodology
- How business use the power of analytics
- Different tools and techniques related analytics
- Data science is a field which is a combination of different methods that helps improve business decision-making by modeling, interpretation as well as deployment. In this field we visualize data that is helpful for business leaders to develop future plans and roadmaps. Data scientists are among the most popular positions in the corporate world in the present, as companies, with the appropriate talent are able to extract greater value from their data. You can become an expert data scientist after completing our post graduation course in Artificial intelligence in Mumbai at Techstack Academy. Learn with our experienced trainers and make your ways towards the future.
Business statistics and application
- 3 Quizzes
- 1 Project
- What is sample vs population probability theory
- Explain concepts related probability distribution
- Distribution types
- Explain data description
- Explain numerical measures of variability
- What is inferential statistics
- Hypothesis testing concepts
- What are statistical methods related to Z/t tests
- What are correlations and chi-square
- Different tools and techniques related proper application
- The use of statistics is essential to forecast sales of market share, demand and sales for various kinds of Industrial products. Statistics assist in providing information and important tools to analyze and optimize the information. A few of the most powerful methods are index numbers and time series analysis as well as forecasting. They are extremely useful for the analysis of the data used in economic planning. Learn how to use statistical methods in constructing planning models for businesses and companies in our exclusive artificial intelligence course in Mumbai at Techstack Academy. We teach you all the hypothesis related statistical concepts and how to make data description.
Introduction to Python
- 3 Quizzes
- 1 Project
- Python introduction
- History of python
- Why python is different from other languages
- Versions of python
- How to install python
- IDLE
- Python execution
- How to write your first program
- In-depth learning of python
- Python functions
- Python is an interactive, interpreted language which is also object-oriented. It is a high level language which works with objects and classes. Python offers packages that contain various categories of functionality and different libraries. Python is a computer-programming language commonly used to create applications and websites, to automate tasks and carry out different analysis of data. Learn complete python programming with us in our artificial intelligence course in Mumbai as python is the most suitable language for artificial intelligence techniques. We will teach you how to install python, its IDLE, how to write the first program and other in this exclusive course at Techstack Academy.
Python Basics
- 3 Quizzes
- 1 Project
- Basics of python
- Keywords and identifiers related python
- Statements of python
- Multi-line statements
- Python comments
- Command line
- Uses of inputs
- Different exercises of python
- Programming modes
- Dynamic typing syntax
- Python is presently used in Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify, as well as a variety of other multinational businesses. It's among the four primary languages employed by Google and YouTube. Google's YouTube is written primarily in Python. The same is true for Reddit, Pinterest, and Instagram. Python has an interpreter that is dynamic and has a bytecode program that is bytecode-compiled. Python analyzes the type of all values during the time of running and flags any codes that don't follow the rules of its execution. Learn in-depth how Python code operates to run the Python interpreter and what is the syntax and format of writing python programming with our experienced trainers at Techstack Academy. We will teach you every functionality used in python programming to make you a complete expert.
Numpy Package
- 3 Quizzes
- 1 Project
- Numpy introduction
- How to import numpy
- How to create Numpy array
- What are the universal functions of Numpy
- How to select and retrieve data
- What is data slicing
- How to iterate numpy data shape
- What is manipulation, stacking
- How to split arrays
- What are copies and views
- What is indexing with array
- What are boolean arrays
- NumPy is also known as Numerical Python. NumPy is a library made up of multidimensional arrays and an assortment of routines to process those arrays. With NumPy both logical and mathematical operations on arrays are executed. NumPy is a Python program and a tool that can be used to perform a broad array of mathematical operations using arrays. It provides powerful data structures to Python which ensure accurate calculations using arrays and matrices. Learn how to use these mathematical functions in your applications to do particular tasks in our post graduation course in artificial intelligence in Mumbai at Techstack Academy.
Data Manipulation using Pandas
- 3 Quizzes
- 1 Project
- Explain data manipulation
- Explain pandas role in data manipulation
- What is data alignment
- Explain sorting techniques and ranking
- What are statistics missing value
- What is mergina dn data concatenation
- Explain how to combine data
- What is framing of pivot
- Explain duplicates binning
- Explain the tools related manipulating the data
- Pandas is the most popular Python library, which is used to perform anything from manipulating data to analysis. This course will help you discover ways to modify DataFrames, remove, filter and transform real-world data to be analysed. Through pandas, you'll be able to explore the fundamental concepts of data science. Using real-world data, you'll learn how to import, clean, calculate statistics, and create visualizations using pandas with Python. Learn everything about pandas library with the help of our experienced trainers at Techstack Academy.
Pandas Package
- 3 Quizzes
- 1 Project
- Explain pandas
- How to import pandas
- What is object creation
- Explain series object and data framing
- What is viewing data
- Explain how to select data by label
- How to position data slicing
- What is boolean indexing
- Explain about pandas packages
- How to analyze the data
- Pandas is a Python library that provides rapid, expressive, and flexible data structures which are created to help users to work with relational or labeled data easily. It is designed to be the basic structure for performing real-world data analysis using Python. Pandas is a reference to the Python Data Analysis Library. According to a wikipedia page about Pandas, the name is an abbreviation of ‘panel data’. You will learn how to position your data correctly and how to view data with us in our post graduation program in artificial intelligence in Mumbai at Techstack Academy. This module contains the importing information and how to do object creation information with a practical approach.
Python Advance: Data Mugging with Pandas
- 3 Quizzes
- 1 Project
- Explain functions in python
- What is histogramming
- Explain string methods
- How to merge data (concat, join, and append)
- What is grouping, reshaping and aggregation
- Explain analysing data
- How to fill missing values
- What is forward filling
- Explain duplicates
- What is transforming data
- The term Data Munging refers to a collection of ideas and a method for transforming data from inaccessible and incorrect formats to a brand new level of format and high-quality which is required by modern analytics systems and consumers. Sometimes, data munging is misunderstood as data wrangling, it is the first step in refinement of raw data into data or formats that are more suitable to be used from downstream applications and consumers. Learn the concepts of data munging in our latest post graduation course in Artificial intelligence in Mumbai at Techstack Academy. You will become a complete expert in python programming and analytics after completing our course.
Python Advance: Visualization with Matplotlib
- 3 Quizzes
- 1 Project
- What is anatomy of Matplotlib Plot
- Explain basics of Matplotlib
- What are the figures of Matplotlib
- Explain components and properties
- Explain axes and graphical objects
- What are python libraries
- What are the features of Matplotlib
- Explain plotting coordinates
- How to download and install map
- Explain python advanced techniques
- Data visualization in Python is one of the most popular features used for data science and python programming in the present time. Python's libraries are packed with a variety of features that allow users to create extremely customized, beautiful and interactive graphs. In this course of post graduation program in artificial intelligence we will learn the use of Matplotlib along with the use of other tools that are used for visualization in Python. Learn the components and properties related to Visualization and Matplotlib to use the best features of python. We have the best experienced trainers at Techstack Academy who will give you the best training in artificial intelligence in Mumbai.
Pylab And Pyplot
- 3 Quizzes
- 1 Project
- Explain Matplotlib plots for data
- Explain subplot
- How to modify the size of figures
- Explain plotting routines with Pyplot
- How to customize your pyplot
- What is deleting an axe
- Explain setting up plot titles, labels and axes
- What is layout showing, closing and saving
- Explain saving a plot with images or pdf files
- What are the uses of Cla, CLf or close
- Python has a set of different functions that makes matplotlib work as MATLAB. Every pyplot function can make an alteration to a figure like it can create a figure, make an area for plotting in an image, plot lines of a plotting region and add labels to the plot and so on. PyLab can be actually integrated into Matplotlib and offers a Matlab-like experience to the user. Learn advanced function of python programming to become a complete expert to follow your dream career with us at Techstack Academy in our latest artificial intelligence course in India.
Introduction to Machine Learning
- 3 Quizzes
- 1 Project
- Explain machine learning
- Machine learning history
- Explain relation of artificial intelligence with ML
- What is data science and machine learning
- Fundamentals related to ML
- Concepts of ML
- What are the branches of ML
- Explain modeling in ML
- What is data preparation for modelling
- Explain evaluation for the model
- We've witnessed that Machine Learning as a buzzword in the last couple of years. The reason behind this could be due to the large volume of data produced through applications because of the increasing usage of computers and internet over the last few years, and the improvement of algorithms. Machine Learning is utilized everywhere from automating routine tasks to providing insightful insight, and industries across every field try to use these services. You might already have devices that use machine learning properties. Examples like an app for fitness tracking like Fitbit and a smart home assistant, such as Google Home. Learn machine learning in our post graduation program in artificial intelligence in Mumbai.
Supervised Learning
- 3 Quizzes
- 1 Project
- Explain classification
- What is KNN
- Overview of logistic regression
- Explain Naive
- What is bayes SVM
- Explain decision tree
- Overview of regression SVR
- What is KNN ridge
- Explain model complexity
- What is generalization
- Explain performance
- How to connect model complexity and generalization
- Overview of feature scaling
- How to use cross-validation for model evaluation
- Build your career with our post graduation program in artificial intelligence in Mumbai at Techstack Academy as we provide the best advanced concepts in the field of machine learning and deep learning concepts. In this module, you are going to learn about supervised learning which is a process of machine learning that helps the computer to automatically adapt the behaviours after calculating patterns for a single process. You will learn feature scaling, generalization, regressions, decision tree and other in this module to understand the concept of supervised learning in-depth.
Advanced Supervised Machine Learning Concepts
- 3 Quizzes
- 1 Project
- Explain concepts of ML
- What is ensemble learning
- What is critical problem
- Explain data leakage in machines
- How to detect errors
- What are the ways to avoid errors from happening
- Explain maps functions
- Concepts related to advanced supervised learning
- Explain algorithm analysis
- What is classification of groups and subgroups
- Supervised Learning refers to the machine learning process of developing functions that map an input to output procedure using data based on examples of input-output pairs. A supervised learning algorithm analyses the training data and generates an inferred function that can be used to map new instances. Learn advanced supervised learning concepts in this artificial intelligence course in Mumbai at techstack Academy. We will teach you all the modules in an extraordinary way to provide you advanced learning concepts. We cover all the modules in practical that helps in enhancing your skills in a more proper way.
Unsupervised Learning
- 3 Quizzes
- 1 Project
- Explain unsupervised learning
- What are the branches of unsupervised learning
- What is K-means clustering
- Explain types of algorithms under unsupervised learning
- What are recommended engines
- Explain the difference between supervised and unsupervised learning
- Which patterns used in unsupervised learning
- Explain inputs and outputs variable
- What is classification and labelling
- What is interference of datasets
- Unsupervised learning is when you have only input data and there are no output variables. The purpose of unsupervised learning is to describe the fundamental structure of data to understand details about data. Unsupervised learning is having the fact that unlike supervised learning there are no right answers and no instructor. The algorithms are free to use their own methods to find and display the intriguing structure of the data. Unsupervised learning problems are further classified into clustering and associated problems. You will learn all the methods involved in unsupervised learning in our post graduation program in artificial intelligence in Mumbai at Techstack Academy.
Natural Language Processing
- 3 Quizzes
- 1 Project
- Overview of natural language processing
- Explain NLP
- NLP advantages
- What is NLP and NLTK
- Extensions of NLTK and exploration
- What are the techniques used in NLP
- What is neural networking
- Explain NLP using python
- How to analyze text data
- What is comprehensive learning
- In natural processing of languages, human language is broken down into smaller fragments in order that the sentence structure can be studied and understood in relation to the context. This allows computers to comprehend written or spoken text similarly to humans. NLP allows computers to communicate with humans using their own language, and also helps with other tasks related to language. NLP makes it possible for computers to read and hear speech, interpret it, determine the mood and decide which aspects are crucial. Learn everything about NLP in our artificial intelligence post graduation course in Mumbai at Techstack Academy. You will know all the concepts related to NLP after completing this module.
Sentiment Analyzer
- 3 Quizzes
- 1 Project
- What is sentiment analyzer
- Explain preprocessing
- What is tokenization/tokens in vectors
- Explain sentiment analysis with logistic regression
- Overview of sentiment lexicons
- What are regular expressions
- Explain twitter sentiment
- What are analyze tools used
- How to collect data
- What is final analysis
- The process of Sentiment Analysis can be described as the method of determining if an article is negative, positive or neutral. In large companies, sentiment analysis can help data analysts assess public opinion, conduct sophisticated market research, assess the reputation of brands and products and comprehend customer interactions. Learn how to apply the sentiment analysis technique in our artificial intelligence course in Mumbai for an organization to extract the subjective content of source material which directly helps businesses to comprehend the social perception of their brand or product while keeping track of online conversations.
Latent Sentiment Analysis
- 3 Quizzes
- 1 Project
- What is latent sentiment analysis
- What is PCA and SUD
- Explain LSA in python
- How to fetch the data
- What is advanced LSA
- Explain sentiment classification
- What is topic modelling
- Tools and techniques
- How to analyze the different patterns
- How to control the structure and different data types
- Latent Semantic Analysis (LSA) is a concept and method of extracting and expressing the meaning of words using computational methods which is applied to a vast textual corpus. LSA can be described as an information retrieval method that examines and detects patterns in text that is unstructured their relationship. LSA is an unsupervised method for discovering synonyms within a set of documents. Learn entire latent semantic analysis techniques to find out different patterns between set of words in our post graduation course in Artificial intelligence in Mumbai at Techstack Academy.
Article Spinning
- 3 Quizzes
- 1 Project
- Explain article spinning
- How to re-write and spin different articles
- What is N-gram model of spinning
- Importance of article spinners
- What are the different softwares for AS
- How to implement different article spinners
- Give overview about paid and unpaid tools
- Explain algorithms
- What is term frequency-inverse
- Explain NLP
- Article spinning can be described as an article-writing technique that is used to optimize search results which is done with the help of different softwares, which produces the appearance of brand new content from existing material. Usually the contents created using automated processes often produced articles that were difficult, or hard to understand. With the help of top Spinning tools, it can be highly efficient. Learn all the concepts related to article spinning or what are the tools and techniques available in the market for top spinning methods.
Tensorflow and Neural Network
- 3 Quizzes
- 1 Project
- Explain Tensorflow
- What are tensors
- Explain computation graph
- What are placeholders
- What is variable neural network
- Explain components of core API
- What is model and learning
- How to evaluate models
- What are different datasets
- How to analyze data accumulated
- Tensorflow is a library created by the Google Brain team. It is an open-source library for large-scale numerical computation and machine learning. TensorFlow is a collection of deep-learning models and algorithms. It's an open-source Artificial Intelligence library which makes use of data flow graphs in order to construct models. After having in-depth knowledge of Tensorflow library, expert developers create large-scale neural networks using a variety of layers. TensorFlow is mostly employed for classification Perception, Understanding, Discovery, Prediction, and Creation. We will provide an in-depth learning program in Tensorflow and neural networks in our post graduation program in artificial intelligence in Mumbai.
Convolutional Neural Network
- 3 Quizzes
- 1 Project
- Explain CNN
- Explain different types of layers
- What is activation layer
- What is pooling
- Explain flattering
- What is fully connected layer
- What is perception
- Explain softmax, argmax, and cross entropy
- What is activation and cost function
- Explain gradient descent backpropagation
- A convolutional neural network (CNN) can be described as an artificial neural network that is used for imaging recognition as well as image processing. It is specifically designed to process data from pixels. A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which is able to take an image input and assign value to different objects or aspects within the image, and then be able to distinguish between the two. In this module, you will learn about pooling, activation layer, perception, and flattering. Our trainers will give you in-depth knowledge in each concept related to CNN in this artificial intelligence course in Mumbai.
Artificial Neural Networks
- 3 Quizzes
- 1 Project
- What is ANN
- Explain some practical application for ANN
- What is linear and logistic regression
- Explain tensorflow
- What are ANN components
- What is MNIST case study
- Explain CNN tensorflow
- What is LSTM networks
- What is restricted boltzmann machines
- Explain autoencoders
- An artificial neural network (ANN) is an attempt to replicate the neurons that comprise a human brain. With this computers will be equipped to acquire knowledge and make decisions in a similar way. The ANNs are constructed by programming computers to behave as if they were brain cells which are interconnected. In this course, you will learn how Artificial neural networks (ANN) are utilized to aid in modeling non-linear problems as well as to predict output values of input parameters using their training parameters. We will teach you important features of ANN with the help of different case studies.
Object Detection
- 3 Quizzes
- 1 Project
- What is object detection
- Explain R-CNN
- Object detection models
- Fast R-CNN models
- How to identify objects
- How to understand faster
- How to implement masks RCNN in python
- Different algorithms related object detection
- Explain workflow in CNN
- Explain different tools and techniques
- Object detection is a crucial computer technique that is used to find visual objects belonging to specific categories (for instance, humans or animals, cars or even buildings) within digital pictures like video frames or photographs. The process of detecting objects is a method of computer vision that is used to recognize and locate objects in the film or image. You will learn object detection models, and understand related concepts easily with our experienced trainers who will teach you post graduation courses in artificial intelligence.
Face Detection
- 3 Quizzes
- 1 Project
- Explain face detection
- What is viola-jones detection
- Explain algorithm-haar
- Explain feature integral
- What is image optimization
- What is training and classifiers
- Explain adaptive
- Boosting concepts
- Cascading concepts
- How to merge faces
- What is yawn detector and counter
- Facial recognition techniques
- Face detection is a technique of artificial intelligence (AI) developed by computers to identify and locate the human face in images. It is the most popular technique of the present time and plays an essential function as the initial step in a variety of important applications, for face tracking, face analysis, and facial recognition. A facial recognition software utilizes biometrics to determine the facial features of a photo or film. It compares the data to the database of known faces to identify the right matching. Learn important techniques used in facial detection in our post graduation course in artificial intelligence in Mumbai at Techstack Academy.
Motion analysis and object tracking
- 3 Quizzes
- 1 Project
- What is motion analysis and object tracking
- Explain different techniques of background removing
- Options related to real-time tracking
- Steps related to hands-on implementation
- How to filter by color
- What is background subtraction
- What is foreground subtraction
- Explain shift and camshaft for object tracking
- Techniques related to detection and recognition
- Explain optical flow
- Motion analysis is a technique that is used in computer imaging, image processing and high-speed photography applications that detect motion. When connected to motion capture devices, software can visual display information about the object to be further examined and modified. Motion Analysis employs computationally powerful kinematic solvers and uses the principles and properties of materials along with mass and inertia during the calculations. Learn how to use motion analysis techniques to detect motions in artificial intelligent programs. Our trainers will provide you in-depth knowledge in this module with advanced concepts.
Intelligent Agents and Uninformed Search
- 3 Quizzes
- 1 Project
- Intelligent agents explained
- What are search agents
- Explain complete uninformed search
- Advantages and disadvantages
- Algorithm related to uniform-cost search
- Explain different strategies
- What is the difference between informed and uninformed search
- What is planning and plotting
- Explain iterative deepening
- Examples related to uninformed search
- Intelligent agents are an algorithm that can make decisions or provide services by analyzing its environment as well as user input and experience. Intelligent agents can also be described as bots, which are an abbreviation for robot. Are you searching for the most effective artificial intelligence training in Mumbai and if you are, You've landed on the most suitable place, Techstack Academy! We will help you in improving your artificial intelligence skills with advanced concepts and practical case-studies. We provide you with an analytical approach for all the strategies used in artificial intelligence to make you a complete expert.
Heuristic Search
- 3 Quizzes
- 1 Project
- What is heuristic search
- Explain heuristica and greedy search
- Search algorithms explain
- What is A* search and optimality
- What is hypothesis
- Explain functions of heuristic search
- Recap of search algorithms
- What is the difference between blind search and heuristic search
- Explain evaluation
- What is local search
- A heuristic search technique with the help of AI methods to search the best one with other possibilities. Hill Climbing in AI to determine the most appropriate solution through the continuous generation of solutions until it reaches the desired state. There are other examples also for these heuristic techniques which are popular and you can learn them in our course of artificial intelligence in Mumbai. We will teach you how to use search algos to evaluate the best solution for any condition.
Adversarial Search and Games
- 3 Quizzes
- 1 Project
- Explain different theorems related adversarial and gamers search
- Overview of minimax algorithms
- Difference between search and games
- What is alpha-beta pruning
- Explain optimal moves related searching
- What are the characteristics of adversarial search
- Explain graph search
- Different techniques related to game playing
- What is evaluation
- Explain stochastic games
- Adversarial search is the search that occurs when there is the presence of an "enemy" or "opponent" altering the status of the situation every single step in a direction that you would not like. The main examples of adversarial search are: Chess and business, trading or war. Every agent must consider the actions of other agents and the effect of their performance. Learn adversarial searches and games concepts in this course of post graduation program in artificial intelligence. Searches in which two or more participants who have different goals are attempting to search the same search area to find the answer, are referred to as adversarial searches which are often referred to as Games.
Fundamentals of AI applications
- 3 Quizzes
- 1 Project
- Explain detailed AI and its applications
- AI Basics
- What is data stimulation
- Explain processing with algorithms
- Different concepts related to AI applications
- What is predictive analysis and data analysis
- Explain types of AI applications
- What are different tools and techniques used
- AI classification
- AI significance
- The technological aspect of AI is well-established and there are an array of applications that are used commercially like medical diagnosis systems, finance analysis, investment planning production, VLSI chip design/analysis, robotics, education, natural languages, and many more. The primary goal of AI is to allow computers to do such cognitive tasks as decision-making problems, problem solving, perception and understanding human communication. You can learn about the various popular application scenarios in this module of post graduation program in artificial intelligence in Mumbai at Techstack Academy.
CSP
- 3 Quizzes
- 1 Project
- What is constraint satisfaction problems
- Explain search algorithms in CSP
- What is cryptarithmetic puzzle
- Explain backtracking
- What is constraint propagation
- What is problem structure
- What is the analysis of complete CSP
- CSP variables
- CSP required local search
- Different methods and techniques
- Different methods and techniques Content Security Policy (CSP) is an added layer of protection that helps in the detection and prevention of certain kinds of attacks, such as Cross-Site Scripting (XSS) and data injection attacks. These types of attacks can be used for anything from data theft, to site destruction to spread malware. Get a thorough understanding of artificial intelligence by joining our Academy. We provide online artificial intelligence classes to help you understand the in-depth learning program that is vital when it comes to Artificial Intelligence.
Reinforcement Learning introduction
- 3 Quizzes
- 1 Project
- Explain reinforcement learning program
- Explain different tools of reinforcement
- Aspects related to reinforcement learning
- What are different algorithms related reinforcement learning
- What is Markov decision process (MDP)
- Explain MDP
- Different functions of reinforcement learning
- Explain bellman equations
- Different elements and algorithms
- What is the process of analyzing
- Rewarding Learning (RL) can be described as the study of making decisions. It is the process of understanding the most effective behavior of an environment in order to reap the maximum rewards. The process of reinforcement learning is a machine-learning technique for training that relies on rewarding desired behavior and/or punishing unintentional ones. You can learn the complete concept of rewarding learning in this post graduation course in artificial intelligence with the help of our trained trainers who have 10+ years in the industry.
Value function- Matrix Notation
- 3 Quizzes
- 1 Project
- Explain value function and matrix notation
- How to identify matrices and machine learning
- What is machine and deep learning
- Examples related to matrix notation
- What is linear algebra in machine learning
- Explain finding an optimal policy in MDPS
- What is objective functioning
- Theorems related to functions
- What are iterative models
- Policy iteration methods
- What are different value iteration methods
- Algos related to reinforcement learning
- Increase your ability to make better decisions with the help of computers and its computations. With the help of our artificial intelligence course in Mumbai, you can learn advanced concepts with hands-on training programs. Our trainers will teach you according to the latest industry trends which helps you in enhancing your skills to the industry level. With this the career opportunities also increased and you can make your own career being an expert artificial intelligence individual. Enroll for our course now to upgrade your skills to a great level.
Logical Agents
- 3 Quizzes
- 1 Project
- What are knowledge based agents
- Explain wumpus world
- What are different building propositions
- Explain reduced wumpus world
- What is model-checking and inference
- Explain theorem proving and proof by resolution
- Overview of conversion to CNF and resolutions
- What is forward and backward chaining
- Explain propositional logic
- Explain first-order logic
- Logical languages are extensively used to express the explicit knowledge required in Artificial intelligence. Symbolic logic provides precise understanding of the semantics of knowledge representation languages as well as an approach to analyzing and comparing the deductive inference methods. Then, it can decide which action to take, based on the assumption that a specific choice or method of doing something is appropriate for achieving its objectives. Learn logical language concepts in this module of post graduation program in artificial intelligence in Mumbai as we are one of the top institutes for artificial intelligence in Mumbai.
AI Applications: NLP
- 3 Quizzes
- 1 Project
- Explain AI applications with NLP
- What is text classification
- Examples related text classification
- What are language models
- Examples related to bigrams
- What is the NLP progress
- What is language translating
- Explain survey analysis
- Explain text extraction
- What is rule-based NLP
- The machine-generated intelligence is called Artificial Intelligence. In present time, Artificial Intelligence has evolved a lot and is used in almost every sector. It is the imitation of natural intelligence within machines that can be programmed to learn and replicate human actions. The machines can acquire knowledge and experience, and then accomplish tasks that are similar to human ones. As technology like AI expands and develops, they will have a significant impact on the quality of our living. Learn about different advanced AI applications and know the brief concepts related to them in our artificial intelligence course in Mumbai at Techstack Academy.
AI Applications and Course Review
- 3 Quizzes
- 1 Project
- History and background related deep learning
- Architecture and application related deep learning
- Robotics introduction
- Planning related robot path
- Explain visibility graphs
- Explain voronoi graphs and potential
- Roadmap related probabilistic
- What is planner (PRM)
- Explain rapidly-exploring random trees (RRT)
- What is path planning and summary
- To find out more about AI, look into our best PG Program in Artificial Intelligence and Machine Learning to enhance your knowledge. Our Artificial Intelligence course will help students learn an advanced curriculum from the best AI institute and develop industry-ready AI skills. This course provides an interactive learning experience that includes high-quality faculty and dedicated tutoring. After completing the program, you'll receive a certificate of completion from Techstack Academy. Our best Learning Academy also provides online courses which can help you understand the foundations of the subject. Learn with us and enhance your skills.
Deployments of AI with Machine Learning
- 3 Quizzes
- 1 Project
- How to improve AI deployments
- Deployment of Agile ML
- How to deploy predictive models
- What is the relation between AI and ML deployment
- Tools used in Auto ML
- Different approaches used in deployment
- How to manage and monitor deployments
- How to analyze
- What is the related workflow and production
- What are programming languages used >
- Expand your knowledge in AI and connect with one of the top AI institutes in India. Techstack Academy is dedicated to give its students great enhancement in their careers with the help of our experts from around the world to be certified. Our Academy's AI training is designed to help people gain the necessary skills to succeed in today's artificial intelligent industry. Prepare to improve your capabilities by joining Techstack Academy! We're regarded as the most popular and career oriented institute of artificial intelligence in Mumbai and offer a highly skilled program that makes an essential turn for students to improve their understanding in the field of artificial intelligence.
- Capstone Project
- Career Assistance: Resume building, Mock interviews, 1:1 mentorship and Career fair
- Program Certificate from Orangus India and Techstack Academy
Capstone Projects
Live Projects from the Partner Agency ( Orangus & Team Variance ).
5000+Projects Completed
500+Domains
3M+Keywords
T
Next Word Prediction
automatically predict the next word you want to type.
E
Automatic Attendance
automating attendance system using a camera.
C
Music Recommendation
recommending new music to users based on their interests
H
Email Spam Classifier
Classifying spam email based on the content of the email alone
ST
Handwritten Digits Recognition
A system that can identify the digit written via hand by people.
A
Movie Recommendation
A system that recommend movies based on the user's saved history.
C
T - rex Dino Bot Algorithm
algorithm for the bot that will learn itself by making mistakes.
K
Frauds Detection System
To predict whether the customer will make a fraud or not.
Join India's #1 Post Graduation in Artificial Intelligence Program
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With years of experience, our faculty members are here to deliver you a high-quality learning experience both online and offline, whilst providing wings to your tech skills!
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Our well-connected placement team is dedicated to providing you with the best opportunities from the top organizations that are relevant to your profile.
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Reviews by Students
Know what our students have to say about us.
Ratna SinghPGAI
Techstack is one of the best training institutes in Mumbai for Artificial intelligence courses. They are world class training providers with great infrastructure. The trainers are very welcoming, and during training and even after training, they provide support and even provide back-up classes when students require it.
Mitesh RanaPGAI
I took part in an artificial intelligence course at Techstack Academy, Mumbai. The training was excellent and I enjoyed the facilities at the location. Great assistance from a counselor who is a good consultant with a lot of knowledge. Overall, a fantastic experience. I enjoyed the complete training program very much.
Vidya SinghPGAI
I want to express my gratitude to my trainers for their outstanding training program. Best institute for freshers and professionals!! The quality of training is top-notch. Trainers will be available all day to enhance your knowledge. Enroll in Techstack Academy for the best IT courses and learning programs. Thank Techstack Academy for all your support.
Preetam ChoudhryPGAI
Techstack Academy is a good training center with knowledgeable staff who go over topics in detail and respond to each and every question of the students with patience. The way to employment is the best training program which gives you the best knowledge. Thank you Techstack for providing me with this great artificial intelligence training.
Ashok KumarPGAI
Myself Ashok, I completed my Post Graduation course in Artificial intelligence from Techstack Academy and thanks for the opportunity. I was able to get a job through Techstack.and I'd be grateful to my instructor for giving me a quality learning program in-depth, and the placement team of Techstack Academy.
Ritvika SenPGAI
It was a great experience studying the Post Graduation Program in Artificial Intelligence in Mumbai at Techstack Academy and gained a lot of experience. My trainer is a specialist in artificial intelligence and machine learning, and instructed us very well.
Batch Starting: 14 Oct 2024
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Program Duration: 12 Months
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Frequently Asked Questions
What is the scope of artificial intelligence in the present time?
The application for Artificial Intelligence in India is currently in the process of adoption however it is widely utilized as the solutions to contemporary problems in all major industries like Agriculture, Healthcare, Education and Infrastructure, Transport, Cyber Security, Banking, Manufacturing Business, Hospitality. There is lots of potential for developing machines, games and speech recognition systems as well as language detection. Computer vision robotics, expert systems and many more. Learn the best concepts of Artificial intelligence in our post graduation course in Artificial intelligence in Mumbai at Techstack Academy in the guidance of India’s best trainers.
Do you provide internships in PGAI courses?
Techstack Academy provides internships after the completion of the entire course of your stream. You can expect to work for more than 45 days for the course of 6 months duration. If you select a one-year of AI course you are liable to work for six months total. All of the courses offered by Techstack Academy are certified courses and certificates are provided to all students upon successful completion of the course. Our certificates are recognized, authentic and ISO accredited and are applicable to any sector.
What are the main features of this PGAI course?
Techstack Academy is one of the top institutes for the Post Graduation Program in Artificial Intelligence in Mumbai. Learn with us to get the advanced training program with the help of India’s top trainers. After successfully completing your course, you will be regarded with the top certification program which will help you in future. Our academy will provide you with the best learning sessions whether it is online or offline. We will make you a complete job ready and after completing our course, you can follow your dream career.
Can I take online classes and get a demo session?
At Techstack Academy, we provide every student with a complimentary demo session prior to their enrollment process with us. The demo session is in person and you can take demo sessions offline and online, in both methods. Learn an online post graduation course in artificial intelligence in Mumbai with our trainers. The online classes offered are in alternate times. You are able to select the timings of your batch and dates at your own convenience by consulting with your instructor directly.
How many modules are there in this course?
We at Techstack Academy believe in the smaller batches that makes it easy to learn all the concepts in-depth for our students and trainers to teach. Our trainers provide hands-on training programs and clarity to all concepts for students while taking classes. In our post graduation course in Artificial intelligence, there are a total of 40 modules with detailed concepts. We frequently review your progress and conduct appropriate assessments and assignments to track the progress you are making, which is the reason we are known as the most popular artificial intelligence institute in Mumbai.
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What is artificial intelligence and its related applications?
AI, which is a term used to describe artificial intelligence, is a term that is used to describe machines or systems that imitate human intelligence to complete tasks, and are able to improve themselves on the basis of information they acquire. AI is manifested in a variety of different forms. The most popular use of AI is tracking fields such as shopping, retail as well as Fashion. Security and Surveillance. Sports Analytics and Activities. Manufacturing and Production. The applications of AI-powered computer vision are particularly important in the field of transport.
Explain how machine learning and artificial intelligence are connected.
Machine learning is an aspect of artificial intelligence (AI) which gives systems the capability to automatically learn and develop by observing their own experiences. Machine learning is the creation of programming programs in computers which utilize data and to make themselves better. The process of machine learning (ML) is a form of artificial intelligence (AI) that lets software programs be more precise in forecasting outcomes. Learn with us at Techstack Academy how machine learning algorithms utilize the historical data to determine the future output value, how machine learning and artificial intelligence are connected in our artificial intelligence course in Mumbai.
What is the deep learning concept?
"Deep learning" is a module of machine learning which is basically the use of a neural network. The neural networks are designed to mimic the behaviour of the human brain allowing them to learn from large amounts of data. It instructs computers to sort inputs and layers of data to discover how to recognize and classify information. The observations can take the form of text, images or sounds. Learn deep learning concepts in our post graduation course in artificial intelligence in Mumbai at Techstack Academy. We have designed this course with the help of industry level concepts and advanced techniques.
Explain the advantages of AI.
Artificial Intelligence is changing the future of nearly any industry and humans. Artificial intelligence has been the primary driver behind new technologies such as robotics, big data and will continue to be an innovator in technology in the near future. The main advantages of AI are:
- Reduction in Human Error
- Does risk-taking instead of Humans
- Available 24x7
- Helping in Repetitive Jobs
- Digital Assistance
- Faster Decisions
- Daily Applications
- New Inventions
What is the use of python in artificial intelligence?
Python provides concise and easy-to-read code which is easy to understand for programmers. While Python's complicated algorithms and flexible workflows support machine learning as well as AI. Python's simplicity makes it easy for developers to develop robust systems. Data science professionals can easily master Python and begin using it to aid in AI development without spending all their time understanding the language. Python programming language is similar to the daily English language, which makes learning it easier. Learn in-depth python programming in our post graduation program in artificial intelligence in Mumbai at Techstack Academy.
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As we know, your future and careers depends on us, we make sure to deliver a holistic view of the entire syllabus that we provide, helping you attain in-depth knowledge.
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We create a roadmap for your journey, starting from novice to becoming an expert.
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Your journey at Techstack doesn’t end with the completion of the course, you will gain the status of Techstack Alumni for a lifetime.
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June 2019 Batch
Rinku Singh :First of all, I'm extremely thankful to the trainers here, particularly our artificial intelligence trainer. I was trained in depth with everything from the beginning during my internship. Through this institution, I have not only been placed in a well-known organisation, but also feel an assurance that I have learned greatly with quality from the institute. For all the help I got from Techstack, I am extremely thankful for that. Thank you very much for everything and you guys did a very good job.
Metali Sharma :Based on my research and knowledge of the training programs, I've come to the conclusion that Techstack Academy is among the top institutes for artificial intelligence courses that offer good job opportunities also. They have 100% placement assistance services by which you can get your first job easily. Trainers here are also helpful and provide in-depth learning programs with practical approaches. They provide the best services in the market and have a very good environment at the institute.
Ritvik Malik :Techstack Academy is one of the top training institutes in Mumbai for post graduation programs in artificial intelligence and provides learning programs for advanced technologies. Techstack has dedicated training programs for all courses with career guidance and 100% placement assistance. They have the best trainers in the industry who have experience of 10+ years. Tecchstack has various courses in data science, machine learning, Python, Java & Testing, Java full Stack, Digital Marketing.
Vikram Alom :Course content that is offered by Techstack Academy is well-structured and well-organized, and delivered in excellent ways to enhance our skills. I came across the Post Graduation Program in Artificial Intelligence In Mumbai Certification course giving an experience that is according to the current trends in the field and was well-designed. The classes are extremely engaging using examples and illustrations with real time scenarios. Instructors are patient enough to be able to answer each question during live classes
Richa Singh :Techstack Academy’s training is one of the top training programs that offer training in artificial intelligence, machine learning, Testing, and Python. As a student I am awestruck by the quality of the training program as the instructors are the best in industry. I've learned the power of artificial intelligence like never before and am learning more every day. If you are looking to increase your knowledge and be aware of new technologies, Techstack Academy is the best place to consider.
Divyanka Sinha :Recently I completed my Post Graduation Training in Artificial Intelligence with Techstack Academy. I was totally new to this, but the course was thorough and the learning material was simpler in the sense that I was able to learn all new techniques easily. Thank you to Techstack Academy for your assistance. In the end, the classes are beneficial to anyone who wants to be a better learner within the field. The support team is fast and responsive, and responds with virtually zero delay. Kudos and best of luck to the team at Techstack for creating an amazing learning platform.
