Offered by
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About the programme

about

This is a 9-month certification programme in Artificial Intelligence (AI) and Emerging Technologies that offers a dynamic pathway to career advancement and professional success across three domains - Data Analytics Modeling and Visualization, Natural Language Processing (NLP) and Computer Vision. In an era defined by data-driven decision-making and technological innovations, the demand for skilled AI practitioners is at an all-time high. Individuals will gain the expertise needed to harness the power of data, develop predictive models and unlock actionable insights that drive business growth and innovation by investing in this programme. Through this certification course, candidates will get the opportunity to learn from IIT professors and leading industry experts in the domain.

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Explore AI and Emerging Technologies Specialisation Paths

Mastering AI and Data Science - Design and Build Intelligent Solutions

2 sessions per week, each lasting 90 minutes in the evening
9 months
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Mastering AI and Natural Language Processing - Design and Build Intelligent Solutions

2 sessions per week, each lasting 90 minutes in the evening
9 months
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Mastering AI and Computer Vision - Design and Build Intelligent Solutions

2 sessions per week, each lasting 90 minutes in the evening
9 months
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Click Here to know more details about the comprehensive syllabus

Campus Immersion Programme

campus

The campus immersion programme is OPTIONAL and is planned across 3 to 5 days at the IIT (ISM) Dhanbad campus. The cost of this campus immersion programme will be around ₹ 5K - ₹ 7K, which will be borne by the learners. During this period the institution takes responsibility for covering expenses related to accommodation and meals.
The campus immersion will include curated immersive experiences, academic sessions, hands-on learning, workshops and face-to-face engagements. By facilitating such arrangements, the institution aims to create an environment

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campus

Key highlights

200 hours of overall experiential learning for each Specialisation Path

3 to 5 day inspiring, enriching immersion at the IIT (ISM) Dhanbad campus

Continuous end-of-module assessments

Live lectures for interactive learning and doubt clearing

Dedicated hands-on lab sessions by IIT (ISM) Dhanbad faculty

Industry projects and use cases

Interact with industry experts from TCS and beyond

The participants are expected to have developed the following skills by the end of the programme:

  • Understand Mathematical principles will help to grasp concepts and effectively apply algorithms and techniques

  • Develop sophisticated models capable of handling complex tasks such as image recognition, natural language processing, and more

  • Master extraction of actionable insights from data, driving informed decision-making and strategic planning

  • Understand and interpret human language, enabling applications such as sentiment analysis, machine translation, chatbots, and information retrieval

  • Understand and interpret visual information from images and videos, leading to applications such as object detection, image classification, facial recognition, and autonomous driving

  • Develop systems and applications that enhance user experiences through image and video analysis, leading to improved efficiency, safety, and decision-making

  • Provide learners with advanced skills in AI and Data Science, enabling them to stay competitive in the rapidly evolving technological landscape

  • Empower learners to tackle complex problems using AI and Data Science techniques, leading to innovative solutions and improved decision-making

  • Provide learners with multiple facets of data handling, from analytics to visualization, providing a well-rounded skill set suitable for various data-centric roles.

  • Equip learners with tools allow individuals to extract actionable insights from data, driving informed decision-making and strategic planning

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Learning Outcomes

What you learn

Develop hands-on expertise in

Python

Keras

Google Colaboratory

TensorFlow

Jupyter Notebook

NumPy

Scikit-learn

PyTorch

Pandas

Natural Language Toolkit (NLTK)

TextBlob

OpenCV

TorchVision

Potential Career Path

The field generates a variety of job roles, including but not limited to based on the following specialisation tracks:

Data Science

  • Data Scientist

  • Data Engineer

  • Data Analyst

  • Data Architect

Natural Language Processing (NLP)

  • NLP Engineer

  • NLP Analyst

  • Machine Learning Engineer

  • Conversational AI Developer

Computer Vision

  • Computer Vision Analyst

  • Machine Vision Engineer

  • AR/VR/XR Developer

  • Image Processing Engineer

Programme pedagogy

Expert-led live sessions

Engage in dynamic training sessions conducted by distinguished faculty from IIT Dhanbad along with seasoned industry professionals.

Recorded session videos

Access educational content on-demand, available for learning on any device, at any time, ensuring flexibility and convenience for revisiting the material.

Industry use cases

Get real-world experience and enhance your understanding of complex business situations through use cases.

Peer networking and expert connect

Expand your professional network and engage with experts through our interactive community platforms, facilitating enhanced learning and problem-solving.

Hands-on learning experiences

Participate in practical sessions where you will work with real-world data and public datasets, fostering a deep, experiential understanding of the material.

Live doubt solving sessions

Address your queries in real-time with direct access to experts during live sessions, ensuring clarity and immediate assistance.

Dedicated learning management team

Receive continual guidance and support from our committed learning management team, tailored to meet your educational needs and enhance your learning journey.

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Programme Syllabus Overview

This comprehensive syllabus covering the latest industry practices and techniques on AI and Data Science is structured into four modules as per the chosen specialisation path which spans across 9 months with optional campus immersion. This course curriculum is designed in a way that it aligns with the current industry trends and practices, making graduates job-ready and valuable to organisations. In addition, guiding the learners through the intricacies of the concepts with hands-on implementations on case studies and scenarios as per the industry standards. Each module provides a solid foundation in building proficiency by ensuring a cohesive and thorough understanding from the basic to the advanced topics leveraging extensive hands-on implementations.

  • Basic Statistics: Part 1 - Statistical Data Representation, Central Tendency, Dispersion, Statistical Moments Correlation
  • Basic Statistics: Part 2 - Correlation, Linear Regression
  • Probability Theory, Probability distribution
  • Sampling Theory and Distributions - I
  • Sampling Theory and Distribution - II
  • Theory of Estimation
  • Lab on Sampling, Estimation and Hypothesis Testing TCS
  • Linear Algebra - I: Determinant, Matrix, Vector Space Linear Transformation, Eigenvalues, Eigenvectors
  • Linear Algebra - II: Matrix Operations and Decompositions, SVD, ICA
  • Dimensionality Reduction
  • Logistic/Kernel/Lasso Regression and Regularization
  • Time Series Analysis
  • Non-parametric Methods
  • Optimisation Techniques
  • Introduction to Bayesian Statistics
  • Laboratory session on topics in session 11, 12
  • Heuristic Search
  • Adversarial Search
  • Constraint Satisfaction
  • Genetic Algorithms and multi-objective search
  • Building Logic Program
  • Logic Program writing using PROLOG Programming/Python Programming (LAB)
  • Probabilistic Reasoning
  • Machine Learning (Basic Concepts)
  • Supervised Learning
  • Classification methods using scikit-learn (Hands-on Session) (LAB)
  • Unsupervised Learning
  • Reinforcement Learning
  • Basics of Neural Networks
  • Multi-layer Perceptron (MLP)
  • Training Neural Networks using Keras (LAB)
  • Using Tensor Flow for implementing Regression and Clustering methods (LAB)
  • Ensemble Learning
  • Project - Implementation of AI/ML using a Business Case
  • Introduction to Deep Learning
  • Training Deep Neural Network (LAB)
  • Basic Concepts of Convolutional Neural Network (CNN)
  • Implementing CNNs using TensorFlow and PyTorch (LAB)
  • CNN Interpretation/Visualization using the popular architectures (LAB)
  • Recurrent Neural Network (RNN) and its variants, Sequence-to-Sequence Models
  • RNN applications (PoS tagging) and implementation of Sequence-to-Sequence Learning using PyTorch (Machine Translation) (LAB)
  • Transformers and self-attention
  • Implementing Variational Autoencoder with Keras (LAB)
  • Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN)
  • GAN Implementation using PyTorch (LAB)
  • Graph Embedding and Graph Neural Network (GNN)
  • Implementing GNN using PyTorch (LAB)
  • Project - Implementation of Deep Learning using a Business Case (2+8 hours)
  • Introduction to Data Analytics
  • Basic Data Manipulation using Python or R (LAB)
  • Fundamentals of Statistics for Data Analytics
  • Statistical Analysis using Python or R Libraries (LAB)
  • Cloud Computing Alliance
  • Setting up a Virtual Machine on a Cloud Platform (LAB)
  • Data Storage and Management on the Cloud
  • Setting up a Database on a Cloud platform (LAB)
  • Data Modeling with Cloud Databases
  • Data Modeling and Processing (LAB)
  • Data Visualization Techniques
  • Visualizations using a Visualization Tool (LAB)
  • Data Analytics and Visualization Case Studies
  • Advanced Data Visualization and Dashboarding
  • Analyzing and Visualizing Real-world Datasets (LAB)
  • Cloud-based Data Analytics
  • Introduction to Natural Language Processing (NLP)
  • Word Embeddings (Word2Vec, GloVe, fastText)
  • Language modeling, PoS tagging, and Named Entity Recognition
  • Introduction to NLTK library (LAB)
  • Develop language model, PoS tagger, and NER using PyTorch (LAB)
  • Syntactic and Semantic Parsing
  • Sentiment Analysis using PyTorch library and word embeddings
  • Information Extraction, Word Sense Disambiguation
  • Summarization Theory and lab using T5 library and PyTorch
  • Transformer-based LLMs - BERT, XLM-RoBERTa
  • MT using transformer-based Sequence-to-Sequence Models (LAB)
  • Question Answering And Dialog Systems
  • Question Answering And Dialog Systems Lab
  • Cross-lingual NLP, Domain Adaptation and Transfer Learning
  • Prompt Engineering
  • Prompt Engineering Lab
  • Project - Implementation of DM&V using a Business Case (2+8 hours)
  • Introduction to Computer Vision
  • Image Processing Basics
  • Image Segmentation
  • Feature Extraction, Measurement and Matching
  • Image Processing Tools and Techniques (LAB)
  • CNNs for Image Classification
  • Object Detection
  • Object and Motion Tracking
  • Structure from Depth and Motion
  • Instance and Semantic Segmentation
  • Face Detection and Recognition
  • Image Reconstruction
  • Generative Adversarial Networks (GANs) for Image Analysis
  • Feature Matching and Object Detection (LAB)
  • Face Detection and Recognition (LAB)
  • Motion and Tracking (LAB)
  • Project - Implementation of Object Recognition and Image Analysis using a Business Case (2+8 hours)

Meet the Mentor(s)

FAQs

Please take a look at the most frequently asked questions; you might have your query answered here.

Undergraduates, postgraduates and working professionals with limited work experience, basic programming knowledge (Python) and a foundational understanding of Mathematics, Algebra, Calculus, Probability and Statistics, can apply for this programme.
  • Click on the "Buy Now" button.
  • Login with your TCS iON Digital Learning Hub credentials or sign up as a new user.
  • After login/sign up, you will be asked to share your details required to complete your purchase. This includes your name, email ID, phone number and other details.
  • In case of Buy Now: On successful submission of the form, you need to proceed to make the payment by clicking on "Click to Pay/Activate Code".
  • In case of Activate Now: A pop-up window will open. Enter the Licence Code and click on the "Activate" button. You will be asked to share your details required to complete the application form. This includes your name, email ID, phone number and other details. Once the activation code and your details are successfully submitted, click on "Get Started/Launch" and you can view the purchased variant in "My Dashboard".
  • You will receive a successful purchase message on your registered email ID/mobile number.
Note: "Activate Now"/"Activate Code" is only applicable for institutional or bulk purchase.
    The course has been meticulously designed for both freshers/individuals pursuing Bachelor's/Master's degree and working professionals, with emphasis on hands-on experience and practical exposure to cutting-edge tools and technologies. The learners will get access to Live Lectures, hands-on implementation (based on the specialisation path chosen), assignments, quizzes, industry use cases and mentorship from renowned industry and IIT Dhanbad faculty members. Learners will also get an opportunity to showcase their skills to potential recruiters.
    In case a learner misses a Live Lecture, he/she will be provided access under Live Lecture learning component, to view the recorded version of the session within and for a specified time frame.
    During the purchase of the course, the learner will be required to fill the application form details which will capture the interested specialisation path.
The learners would need the following infrastructure to access the learning platform:
    1. Device: A standard Desktop/Laptop/Tablet/Smartphone with camera and mic
    2. Internet: A regular broadband/Wi-Fi connection or a mobile 4G connection
    A learner can conveniently connect among the members at an appointed time for group work, outside the live classes. Learners can also use the platform 24x7 to engage and learn from their peers using our digital discussion rooms available under the course of the programme. Our platform also has the provision of group-specific discussion forums for offline discussion among the group members.
Yes, all eligible learners will get an opportunity to appear in 3 job interviews basis their TCS iON National Proficiency Test (TCS iON NPT) score.
    1. Learners can appear for TCS iON NPT as per the course topic and TCS iON NPT schedule.
    2. TCS iON NPT has to be completed within 3 months from completion of the course.
    The duration of this programme is 9 months, including hands-on and doubt clearing sessions. There will be 2 sessions per week and the duration of each session will be 90 minutes. The Live Lectures are planned every week in the evening on Wednesdays and Saturdays from 7:00 PM to 8:30 PM.
    Please note that the course fees is not refundable under any circumstances. Also, the course fee is not transferable for any other course on the TCS iON platform or for any other purpose. We will be with you at every step for your upskilling and professional growth needs.