• Admission Date

    Announcing Soon

  • Program duration

    11 months

  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Earn an Elite Certificate

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

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

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    Unlock Exclusive Opportunities

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

  • icons
    Experience Hands-on Learning

    Applied learning through 25+ hands-on projects and 15+ tools with seamless access to integrated labs

  • icons
    Master Modern GenAI Tools

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

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

Generative AI and Machine Learning 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

Generative AI and Machine Learning 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

Generative AI & Machine Learning 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

  • IITG AI: Program Induction

    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.

  • IITG AI: Programming Fundamentals
    • 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
  • IITG AI: Python for Data Science (IBM)
    • IBM designed course on Python for data science
    • Master Python scripting
    • Hands-on data analysis using Jupyter Lab.
  • IITG AI: Applied Data Science with Python
    • 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
  • IITG AI: Machine Learning
    • Investigate the machine learning pipeline
    • 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
  • IITG AI: Deep Learning with TensorFlow (IBM)
    • 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
  • IITG AI: Deep Learning Specialization
    • 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
  • IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
    • 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
  • IITG AI: Advanced Generative AI
    • 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
  • IITG AI: Capstone

    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:
  • IITG AI: ADL & Computer Vision
    • 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
  • IITG AI: NLP and Speech Recognition
    • 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
  • IITG AI: Reinforcement Learning

    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

  • IITG AI: Academic Masterclass
    • 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
  • IITG AI: Industry Masterclass
    • Attend online interactive masterclasses delivered by industry leaders from IBM
    • Master skills to make data driven decisions, extract business insights, and predict future trends

Contact Us

1-844-532-7688

( Toll Free )

14+ 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

15+ 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 datasets from organizations.

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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.

  • Prof. Koteswar Rao Jerripothula

    Prof. Koteswar Rao Jerripothula

    Assistant Professor, IIT Kanpur

    Prof. Rao holds a Ph.D. from NTU, Singapore, with research interests in Computer Vision, AI, Machine Learning, Multimedia, and Signal Processing. Many of his works have been published in leading venues like CVPR, ICCV, ECCV, and WACV.

  • 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.

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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

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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.

  • Industry
    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

Learner Reviews

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

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

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.

Total Program Fee

$ 2,500

Pay In Installments, as low as

$ 250/month

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

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?

Professional Certificate in Gen AI FAQs

  • 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
       

  • Does Simplilearn have corporate training solutions?

    Discover how Simplilearn for Business can equip your teams with the latest AI and other digital skills, including industry certifications. Our tailored training and learning paths are designed for Fortune 500 and mid-sized companies, offering targeted skill development for their workforce. Explore our comprehensive learning library, Simplilearn Learning Hub+, which features unlimited live interactive solutions that are available organization-wide. Our dedicated curriculum consultants collaborate with each client to identify and implement the ideal learning solutions for their teams' needs.

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • What is a generative AI and machine learning program?

    A generative AI and machine learning program is an advanced course designed to equip learners with skills in AI and ML, focusing on generative AI techniques like GANs, transformers, and NLP models. Simplilearn’s GenAI and machine learning program includes statistics, machine learning, Python, R programming, and data visualization modules. Delivered online through live classes, the course includes industry-relevant assignments and capstone projects. It offers hands-on experience through real-world projects, helping professionals master cutting-edge AI technologies to drive career innovation.

  • What does an AI specialist do?

    An AI specialist designs, develops, and implements artificial intelligence models and algorithms to solve complex problems. They create intelligent systems using machine learning, data analysis, and natural language processing. Their role involves researching new AI techniques, optimizing performance models, and integrating AI solutions into applications across various industries. They also collaborate with cross-functional teams to ensure AI systems meet business objectives

  • What are the benefits of a professional certificate in generative AI?

    A professional certificate in generative AI equips you with cutting-edge AI model creation and deployment skills, making you highly competitive in the job market. Simplilearn’s GenAI program offers hands-on experience with leading AI tools, enhancing your practical knowledge. The program also provides industry-recognized credentials, boosting career prospects in AI-driven fields. This program also helps you stay updated with the latest advancements in AI, ensuring your expertise remains relevant in a rapidly evolving industry.

  • How efficient are the trainers at Simplilearn?

    The trainers for Simplilearn’s GenAI and Machine Learning course offer a wealth of knowledge from their time working in the AI industry and practical experience creating and implementing strategies. Their selection process involves carefully evaluating their educational background, professional experience, and teaching capabilities. These trainers deeply understand GenAI tools, methodologies, and frameworks. They clarify complicated concepts to help participants understand and easily gain theoretical knowledge and practical skills. The instructors' real-world experiences and insights facilitate a highly relevant learning experience.

  • How do I enroll in the generative AI and machine learning program?

    The application process for the generative AI and machine learning program involves three steps. ​​​​​

    • First, candidates must submit an application detailing their motivation for the course. 
    • Next, an admission panel will review the applications and shortlist candidates based on their submissions. 
    • Finally, selected candidates can begin the GenAI and ML program within 1-2 weeks. 

    Please note that, upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

  • What will the expected salary range be after completing the professional certificate in generative AI program?

    After completing the certificate program in generative AI, you can explore job roles like GenAI engineer, ML engineer, AI research scientist, AI solutions architect, AI product manager, and AI consultant, amongst others.

    Here’s the approximate salary of these professionals- (Source: Glassdoor)
     

    • Gen AI engineer- ₹ 28 LPA
    • ML engineer- ₹14LPA
    • AI research scientist- ₹12LPA
    • AI solutions architect- ₹37LPA
    • AI product manager- ₹ 26.1LPA
    • AI consultant- ₹ 18LPA
       

  • What will be the career path after completing the generative AI and machine learning program?

    A certificate in generative AI and machine learning can help you pursue various career paths, such as becoming a machine learning engineer, AI research scientist, or data scientist. Simplilearn’s GenAI and machine learning program will help you learn skills to develop and deploy AI models, conduct research to advance AI technologies or analyze and interpret complex data. Once completed, you'll be equipped to work in industries ranging from technology and finance to healthcare and entertainment, leveraging AI to drive innovation and build a fulfilling career.

  • What is covered under the 24/7 support promise?

     We offer 24/7 support through chat for any urgent issues. For other que

  • What is the refund policy for this professional certificate in generative AI program?

    You can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our refund policy.

  • What are the best Generative AI tools?

    Some of the best generative AI tools are OpenAI's GPT-4 for natural language processing and content generation, DALL·E 2 for creating images from text prompts, Google's BERT for understanding language context, MidJourney for AI-driven art creation, and RunwayML for generating and editing videos. These tools are widely used in various industries for creative and technical applications. Simplilearn’s GenAI and Machine Learning program thoroughly teaches all these tools.

  • How can I learn generative AI?

    If you are keen to learn generative AI or want to start a career in this field, Simplilearn’s certificate program in generative AI and machine learning is a great platform to start. This course starts with foundational machine learning and deep learning courses and proceeds to cover advanced terms and methodologies. You will understand the underlying principles and explore tools such as  GPT-4 and DALL·E 2, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders). The hands-on projects and assignments help you apply these concepts practically for a better understanding.

  • Is there any certification for generative AI?

    Yes, Simplilearn offers a certification in Generative AI through its AI and Machine Learning course. This certification covers key concepts, tools, and Gen AI and ML techniques. It is a great credential for professionals seeking to advance their careers in AI.

  • Are there any other online courses Simplilearn offers under AI & Machine Learning?

    Absolutely! Simplilearn offers plenty of options to help you upskill in AI & Machine Learning. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the AI & Machine Learning field.

    Similar programs that we offer under AI & Machine Learning

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