• Admission Date Announcing Soon
  • Program Duration 11 months
  • Learning Format Online Bootcamp

Why Join this Program

Earn an Elite Certificate

Receive a certificate of program completion from E&ICT Academy, IIT Guwahati

Unlock Exclusive Opportunities

Engage in ask-me-anything sessions and hackathons by IBM, and a campus immersion at IIT Guwahati

Experience Hands-on Learning

Applied learning through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

Master Modern GenAI Tools

Exposure to ChatGPT, Hugging Face, DALL-E 2, Gemini, and other prominent tools

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Program Overview

The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.

Key Features

  • Program completion certificate from E&ICT Academy, IIT Guwahati
  • Curriculum delivered in live virtual classes by seasoned industry experts
  • Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
  • Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
  • Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
  • Eligibility for a campus immersion program organized at IIT Guwahati
  • Exclusive hackathons and “ask-me-anything” sessions by IBM
  • Certificates for IBM courses and industry masterclasses by IBM experts
  • Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
  • Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more

Post Graduate Program Advantage

With a structured learning approach and industry-relevant projects, this comprehensive GenAI and Machine Learning program will help you transform your career in an AI-driven future. Hands-on learning will enable stay at the forefront of this field.

  • Program Certificate

    E&ICT Academy, IIT Guwahati

    • E&ICT Academy, IIT Guwahati, will issue the program certificate directly within 90 days of program completion
    • Academic masterclasses conducted by distinguished faculty from IIT Guwahati
    • Become eligible for a campus immersion program at IIT Guwahati
  • IBM Certificate

    A Game-Changing IBM Collaboration

    • Industry recognized certificates for IBM courses
    • Industry masterclasses by IBM experts
    • Ask Me Anything sessions and hackathons

Program Details

Thoughtfully curated, this Generative AI and Machine Learning program guides you through essential programming concepts, practical data science, and advanced AI applications. From mastering Python fundamentals to delving into modern AI technologies, this program will help you transform your career.

Learning Path

  • Embark on a comprehensive learning adventure with our Generative AI and Machine Learning Certificate Program. Delve into the essential concepts of generative AI and machine learning, equipping yourself with the knowledge and skills needed to launch your career in this dynamic field.

    • Comprehensive grasp of procedural and OOP concepts
    • Installation of Python and IDE
    • Mastery in utilizing Jupyter Notebook
    • Implementation of identifiers, indentations, and comments
    • Identification of Python data types and operators
    • Understanding different types of Python loops
    • Exploration of variable scope within functions
    • Explanation and understanding of OOP characteristics
    • IBM designed course on Python for data science
    • Master Python scripting
    • Hands-on data analysis using Jupyter Lab.
    • Introduction to data science and its practical applications
    • Grasp the essentials of NumPy
    • Investigation into array indexing and slicing techniques
    • Application of linear algebra principles in data analysis
    • Calculation of central tendency and dispersion measures
    • Explanation of null and alternative hypotheses
    • Exploration of various hypothesis testing methods including Z-test and T-test
    • Understanding the concept of ANOVA (Analysis of Variance)
    • Utilization of Pandas for data loading, indexing, reindexing, and merging
    • Investigate the machine learning pipeline and MLOps
    • Learn about supervised learning and its applications
    • Understand methods to identify and prevent overfitting and underfitting
    • Visualize variable linearity using correlation maps
    • Explore classification algorithms and their practical usage
    • Master various unsupervised learning techniques
    • Recognize suitable scenarios for unsupervised algorithms and types of clustering
    • Develop a recommendation engine using PyTorch
    • Elevate ML skills with deep learning
    • Learn TensorFlow and Keras
    • Understand deep learning concepts
    • Construct artificial neural networks
    • Navigate data abstraction layers
    • Unlock data potential for AI advancements
    • Learn about distinctions between deep learning and machine learning
    • Understand neural networks, including forward and backward propagation
    • Utilize TensorFlow 2 and Keras for model deployment
    • Enhance model performance and interpret results effectively
    • Explore convolutional neural networks (CNNs) and transfer learning for object detection
    • Learn about recurrent neural networks (RNNs) and autoencoders
    • Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
    • Hands-on skills: Gain practical insights into real-world business applications
    • Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
    • Master prompt engineering: Understand its importance in crafting customized outputs
    • Transformers' significance in modern AI
    • Neural networks' suitability for generative tasks
    • Differentiate generative model types: VAEs, GANs, transformers, autoencoders
    • Appropriate scenarios for diverse generative AI models
    • Assess attention mechanisms' efficacy in generative tasks
    • Analyze GPT and BERT, contrasting their architectural goals in generative AI
    • Langchain and Workflow Design
    • Advanced Prompt Engineering Techniques
    • LLM Application Development
    • LLM Fine-Tuning and Customization
  • This will enable you to apply your newly acquired skills. With guidance from mentors, you will build confidence to tackle real-industry challenges. This project not only signifies the peak of your learning journey but also serves as an opportunity to showcase your capabilities to potential employers in a real-world setting.on

Electives:
    • Attain a thorough understanding of computer vision
    • Develop expertise in complex neural network architectures
    • Learn image creation and manipulation techniques
    • Explore CNNs for essential image analysis
    • Master object recognition and localization using CNNs
    • Apply OCR methods for document digitization
    • Gain insights into eXplainable AI (XAI) techniques
    • Efficiently deploy deep learning models
    • Explore machine learning algorithms for natural language processing
    • Focus on comprehension, feature design, and generation
    • Learn automated speech recognition and conversion techniques
    • Develop voice assistance tools, including Alexa skills creation
    • Emphasize practical application and implementation
  • Learn foundational principles of reinforcement learning (RL) Explore various RL approaches using Python and TensorFlow Apply RL techniques and algorithms for problem-solving Gain practical experience in tackling RL challenges

    • Attend an online interactive masterclass delivered by IIT Guwahati faculty
    • Gain insights about advancements in technology and techniques in AI and machine learning
    • Enhance your knowledge to stay at the forefront of innovation in the constantly evolving landscape of technology
    • Attend online interactive masterclasses delivered by industry leaders from IBM
    • Master skills to make data driven decisions, extract business insights, and predict future trends

Skills Covered

  • Generative AI
  • Prompt Engineering
  • Chatbot Development
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Machine Learning Algorithms
  • Speech Recognition
  • Statistics

Tools Covered

ChatGPTOpen AIDalle.2Hugging FacepythonGradioLangchaintensorflowkerasNLKTNumPyOpen CVScikitLearnMatPlotlibDjango-n

Industry Projects

  • Project 1

    Create a Virtual Assistant with Generative AI

    Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.

  • Project 2

    Predicting Employee Iteration with Machine Learning

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

  • Project 3

    Explore the Road Safety of Autopilot Feature with Data Analysis

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

  • Project 4

    Create An AI Recommendation Engine to Improve Marketing

    Use AI to categorize images of historical structures and conduct exploratory data analysis (EDA) to build a recommendation engine that improves marketing initiatives.

  • Project 5

    Utilize Deep Learning to Automate Ship Detection

    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships.

  • Project 6

    Explore Feature Analysis with EDA and Statistics

    Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.

  • Project 7

    Understand the Real Estate Parameters with Feature Engineering

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

  • Project 8

    Use Cluster Analysis for Song Classification

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

  • Project 9

    Customer Acquisition with EDA and Statistics

    Use exploratory data analysis and statistical techniques to understand the factors that contribute to customer acquisition for a retail firm.

  • Project 10

    Utilize Time Forecasting to Forecast for the Food Industry

    Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different items across restaurants.

  • Project 11

    Detecting Diabetics with CNN and Deploying with TensorFlow

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

  • Project 12

    Build Facial Recognition for Healthcare System with Deep Learning

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

prevNext

Program Advisors and Trainers

Program Advisors

  • Dr. Gaurav Trivedi

    Dr. Gaurav Trivedi

    Associate Professor, EEE and Principal Investigator, E&ICT Academy, IIT Guwahati

    With an M.Tech. in Microelectronics and a Ph.D. in Electrical Engineering from IIT Bombay, Dr. Gaurav Trivedi’s research spans circuit simulation, VLSI CAD, electronics system design, computer architecture, IoT, high-performance computing, large-scale optimization, and machine learning.

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

prevNext

Program Trainers

  • Dr Tejesh Sivasubramani

    Dr Tejesh Sivasubramani

    12+ years of experience

    Consultant and Corporate trainer

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO, Ubhuru Technologies

  • Prashant Nair

    Prashant Nair

    15+ years of experience

    AI Quantum Researcher and Corporate Trainer

  • Shubam Pandey

    Shubam Pandey

    12+ years of experience

    CEO- Learners Galaxy

  • Tarun Sachdeva

    Tarun Sachdeva

    8+ years of experience

    Data Analyst and Certified Project Manager

prevNext

Industry Trends

The demand for AI Engineers is rapidly increasing and is projected to rise by about 20% in new job opportunities. IBM forecasts significant growth in the AI field, with an expected emergence of 2.5 to 3 million roles.

Job Icon$267 billion

Expected Global AI Market Value By 2027

Source: Fortune Business
Job Icon40.2%

The Annual Growth Rate For The Global AI Market

Source: Grand View Research
Job Icon$15.7 trillion

Expected Total Contribution Of AI To The Global Economy By 2030

Source: PwC Global

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 35%Software Product - 29%E commerce - 9%BFSI - 15%Others - 12%
    Companies
    Amazon
    Cognizant
    Infosys
    Tata Consultancy Services
    Genpact
    Accenture
    Deloitte
    PricewaterhouseCoopers
    Ernst & Young
    Dell
    Citigroup
    Wells Fargo

Admission Details

Application Process

The application process consists of 3 simple steps. Upon selection, candidates will receive an offer of admission, which they can secure by remitting the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can join the program by paying the admission fee

Eligibility Criteria

For admission to this GenAI and Machine Learning Course, candidates should have:

A bachelor's degree with an average of 50 percent or higher marks
Basic understanding of mathematics and programming concepts
Preferably 2+ years of formal work experience

Admission Fee & Financing

The admission fee for this GenAI and ML Course $ 2,500.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 2,500

Apply Now

Program Benefits

  • Program certificate from E&ICT Academy, IIT Guwahati
  • 2-day campus immersion program at IIT Guwahati
  • IBM course certificates and masterclasses by IBM experts
  • Integrated labs & 20+ practice tools
  • Live & self-paced learning for better engagement

Program Cohorts

There are no cohorts available in your region currently

Got questions regarding upcoming cohort dates?

FAQs

  • Why E&ICT Academy, IIT Guwahati?

    Established on March 26, 2015, by the Ministry of Electronics & Information Technology (MeitY), the Electronics & ICT Academy at IIT Guwahati offers advanced online certification courses in data science, AI, machine learning, big data, cloud computing, full stack development, UI/UX, and VLSI design. It has successfully trained over 2,000 graduates and professionals.

    IIT Guwahati is a top engineering school in India with a strong national and growing international reputation. It has consistently maintained a top 7 ranking in the Engineering category of the NIRF rankings from 2019 to 2023 and is recognized among the world's best universities for the study of Data Science by the QS World University Rankings.

  • What is covered in this Professional Certificate Program in Generative AI and Machine Learning?

    You'll immerse yourself in the world of AI and machine learning, building a solid foundation from the ground up. This meticulously designed curriculum goes beyond the basics, delving into advanced topics such as deep learning, natural language processing, computer vision, and predictive analytics. Best of all, you won't just learn the theory; you'll engage in hands-on projects within integrated labs, applying your skills to real-world scenarios. By the end of the program, you'll be well-prepared to launch your career in AI and ML with confidence and expertise.

  • How long will it take to complete the Professional Certificate Program in Generative AI and Machine Learning?

    The anticipated time to complete the Professional Certificate Program in Generative AI and Machine Learning is 11 months.

  • Who should enroll in the Generative AI & Machine Learning course?

    Professionals eager to develop AI and ML expertise with the objective of:

    • Improving performance in their current role
    • Transitioning to AI and ML roles in their organization
    • Seeking to advance their career in the industry
    • Empowering entrepreneurial aspirations

  • What is the eligibility criteria for enrolling in the Generative AI and Machine Learning program?

    For admission to this program, candidates should have:

    • A bachelor's degree with an average of 50 percent or higher marks
    • Prior knowledge or experience in programming and mathematics
    • Preferably 2+ years of formal work experience
       

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.