• Program duration

    4 months

  • Learning Format

    Self-Paced Learning

Why Join this Program

  • icons
    Earn a Elite Certificate

    Receive a certificate of program completion from IITM Pravartak

    Receive a certificate of program completion from IITM Pravartak

  • icons
    Learn Modern AI Tools

    Explore Copilot, ChatGPT, Azure AI Studio, OpenAI and other tools with access to integrated labs

  • icons
    Attend Academic Masterclasses

    Boost your AI skills via live masterclasses led by faculty and/or alums from IITM and other top IITs

  • icons
    Unlock Campus Immersion

    Get an opportunity to attend a 2-day campus immersion at IIT Madras Research Park

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

Applied Gen AI Course Overview

This Applied Generative AI course will equip you with the skills to deploy generative AI techniques in real-world scenarios. You will gain a comprehensive understanding of applied generative AI, from mastering concepts like GANs, VAEs, and prompt engineering to exploring advanced topics such as LLM application development, RAG, and fine-tuning.

Key Features

  • Program completion certificate from IITM Pravartak
  • 70+ hours of core curriculum delivered in live online classes by industry experts
  • Live online masterclasses by faculty and/or alumni from premier institutes such as IITM and other IITs
  • Hands-on learning through 60+ exercises and 7 industry-relevant projects, with seamless access to integrated labs
  • Develop generative AI-enabled applications through hands-on projects
  • Exposure to Copilot, Azure AI Studio, ChatGPT, OpenAI, Dall-E 2, Hugging Face & other prominent tools
  • Opportunity to attend a 2-day campus immersion at IIT Madras Research Park
  • Build an end-to-end RAG-based application through hands-on projects
  • Opportunity to get your startup incubated by IITM Pravartak
  • Obtain official certificates for all Microsoft courses completed on the Microsoft Learn portal

Post Graduate Program Advantage

Gain a competitive edge through practical learning in the dynamic field of Generative AI. Develop expertise in prompt engineering, LLMs, fine-tuning methods, LLM application development and explore the intriguing realm of Applied Generative AI.

  • Program Certificate

    Partnering with IITM Pravartak

    • Earn a program certificate directly from IITM Pravartak within 90 days of program completion
    • Attend masterclasses led by faculty and/or alumni from premier institutes such as IITM and other IITs
    • Become eligible for a 2-Day campus immersion at IIT Madras Research Park
  • Microsoft Azure Certificate

    Collaborating with Microsoft

    • Access course completion badges/certificates on the Microsoft Learn portal
    • Learn Copilot fundamentals and Retrieval Augmented Generation (RAG)

Program Details

Explore our advanced Applied Generative AI course to deploy cutting-edge techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, while utilizing tools like ChatGPT, DALL-E 2, OpenAI, and Hugging Face. Develop LLM applications, and hone fine-tuning skills.

Learning Path

  • IITM AG: Program Induction

    Kickstart your journey with our Applied Generative Specialization Program, covering all essential concepts in the generative AI domain. This unique Generative AI course is designed to elevate your career, providing comprehensive knowledge and skills to excel in the field.

  • IITM AG: Python Fundamentals
    • Procedural and OOP understanding
    • Python and IDE installation
    • Jupyter Notebook usage mastery
    • Implementing identifiers, indentations, comments
    • Python data types, operators, string identification
    • Types of Python loops comprehension
    • Variable scope in functions exploration
    • OOP explanation and characteristics
  • IITM AG: Essentials of Generative AI, Prompt Engineering & ChatGPT
    • Cutting-edge knowledge: Learn generative AI, prompt engineering, and ChatGPT
    • Hands-on skills: Acquire a real-world understanding of various business applications
    • Effective gen AI utilization: Master the art of applying these technologies efficiently
    • Master prompt engineering: Grasp its significance in producing tailored outputs
  • IITM AG: Advanced Generative AI: Models and Architecture
    • Introduction to Generative Models
    • Large Language Models Architecture
    • Variational Autoencoders (VAEs)
    • Generative Adversarial Networks (GANs)
    • Attention Mechanisms and Transformers
  • IITM AG: Advanced Generative AI: Building LLM Applications
    • Langchain and Workflow Design
    • Advanced Prompt Engineering Techniques
    • LLM Application Development
    • LLM Fine-Tuning and Customization
    • Benchmarking and Evaluation of LLM Capabilities
    • LangChain for LLM Development
    • RAG with LangChain
  • IITM AG: Advanced Generative AI: Image Generation Capabilities
    • Stable Diffusion
    • Denoising
    • Autoencoders in Generative AI
    • Contrastive Learning Techniques
    • Shared Embedding Spaces
  • IITM AG: Generative AI Governance
    • Importance of Governance in AI
    • Governance Challenges in Generative AI
    • Ethical Principles in AI
    • Governance Structures and Committees
    • Risk Management in AI Projects
    • Integrating Governance into the AI Project Lifecycle
    • Evolving Regulatory Landscape
    • Future Trends in AI Governance
  • IITM AG: Capstone Project

    At the end of this Applied Generative AI Program, bring your newly acquired skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

Electives:
  • IITM AG: Microsoft Azure AI Fundamentals: Generative AI
    • Understand how large language models form the foundation of generative AI
    • Describe how Azure OpenAI Service provides access to the latest generative AI technology
    • Understand how generative AI applications, such as copilots, support efficiencies
    • Describe how prompts and responses can be fine-tuned
    • Describe how Microsoft's responsible AI principles drive ethical AI advancements
  • IITM AG: Microsoft Copilot Foundations
    • Create copilots and navigate the Microsoft Copilot Studio interface
    • Publish bots and analyze performance
    • Learn about Azure AI Studio
    • Build a RAG-based copilot solution
    • Understand how to ground your language model
    • Build a copilot with prompt flow
  • IITM AG: Academic Master Class

    Attend online interactive masterclasses by faculty and/or alumni from premier institutes such as IITM and other IITs to gain valuable insights into the latest advancements in technology and techniques within the realm of Generative AI.

Contact Us

1-844-532-7688

( Toll Free )

15+ Skills Covered

  • Python Programming
  • Explainable AI
  • Prompt Engineering
  • Variational Autoencoders
  • Generative Adversarial Networks
  • Transformers
  • LLM Architecture
  • Retrieval Augmented Generation
  • Attention Mechanism
  • Langchain for Workflow Design
  • GenAI Application Development
  • LLM FineTuning
  • LLM Benchmarking
  • Stable Diffusion
  • Generative AI Governance

12+ Tools Covered

Azure AI StudioMicrosoft CopilotChatGPTLangchainpythonHugging FaceOpen AIStreamlitGradioGeminiDalle.2Chroma

Industry Projects

  • Project 1

    Crafting an AI powered HR Assistant

    Develop a virtual assistant designed to answer queries related to Nestle's HR policy. Leverage Python libraries and OpenAI's GPT model for accurate and efficient query responses.

  • Project 2

    Building a Creative Logo Designer

    Use OpenAI's DALL-E and Gradio UI to develop an innovative logo builder. The app creates unique and stunning logos from text prompts, revolutionizing the logo design process.

  • Project 3

    Conversational chatbot that interacts with documents

    Create a conversational chatbot able to engage users in meaningful dialogues, answer queries, offer recommendations, and aid tasks using provided documents as inputs.

  • Project 4

    Finetune Falcon7b Personalized LLM Instance

    Embark on building a personalized language model with Falcon-7b. Utilize personalized LLM technique to explore text generation capabilities by providing task examples as inputs.

  • Project 5

    Developing an Image Generation App with LangChain

    Create an application that uses LangChain to connect OpenAI API to DALL-E. This image generation application turns written descriptions into lifelike pictures and artwork

  • Project 6

    Develop a Shopping App Using Python

    Develop a Python shopping app with login features, category management, cart functionality, and payment options. Backend only, no UX/UI or database needed.

  • Project 7

    Create an Online Car Rental Platform

    Create an online car rental platform where customers can view and rent cars hourly, daily, or weekly. Use Python OOP for development.

  • Project 8

    Crafting an AI powered Business Analysis Tool

    Develop an AI-powered tool that analyzes business data, generates insights, and provides actionable recommendations using NLP and Retrieval-Augmented Generation(RAG).

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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Program Advisors

  • 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.

  • Arijit Mitra

    Arijit Mitra

    Director and Head of Machine Learning & AI at Pegasystems

    Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.

  • Armando Galeana

    Armando Galeana

    Founder and CEO at Ubhuru Technologies

    A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.

  • 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.

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Industry Trends

Generative AI, at the forefront of technological innovation, is witnessing exciting trends that shape its trajectory in diverse domains. The evolution of language models, like GPT-4, showcases advancements in natural language generation.

Job Icon$667.9 Bn

Expected Generative AI Market Size by 2030

Source: Fortune Business
Job Icon24.4%

The global Gen AI market's projected annual growth rate from 2023-2030

Source: Statista
Job Icon$4.4 Tn

Expected value added by Generative AI to the global economy annually

Source: Mckinsey

Batch Profile

The Executive Program in Applied Generative AI caters to working professionals across different industries. Learner diversity adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    Nvidia
    OpenAI
    Netflix
    Google
    Microsoft
    IBM
    LinkedIn
    Apple
    Deloitte
    Bosch
    Accenture
    Siemens

Admission Details

Application Process

The application process consists of three 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 Executive Program in Applied Generative AI, candidates should:

Have a bachelor's degree with an average of 50 percent or higher marks
Have a basic understanding of programming concepts and mathematics
Preferably, have 2+ years of professional experience

Apply Now

Program Benefits

  • Receive a program certificate from IITM Pravartak
  • Attend a 2-day campus immersion at IIT Madras Research Park
  • 70+ hours of curriculum delivered in live online classes
  • Build Gen AI-enabled applications through hands-on projects
  • Exposure to ChatGPT, Azure AI Studio, Copilot, & more

Applied Gen AI Course FAQs

  • How long does it take to complete the Advanced Executive Program in Applied Generative AI?

    The anticipated time to complete the Advanced Executive Program in Applied Generative AI is 4 months.

  • Who will be the faculty for this Applied Generative AI course?

    Industry experts and experienced professionals from the data and AI domain lead the Applied Generative AI course bringing real-world insights and practical knowledge to the classroom. Before they are qualified to train for you, they must undergo a thorough selection procedure, including profile assessment, technical examination, and a training presentation. Masterclasses will be delivered by faculty and/or alumni from premier institutes such as IITM and other IITs.

  • What certificate will I receive after completing this Applied Generative AI course?

    Upon completing this Applied Generative AI course, you will be awarded a joint certificate of completion from  IITM Pravartak and Simplilearn.

  • What are the eligibility requirements for this Applied Generative AI course?

    You must meet the following requirements to join the Advanced Executive Program in Generative AI:

    • A bachelor's degree with an average of 50 percent or higher marks
    • Basic understanding of coding concepts and mathematics
    • Two years or more of work experience (preferred)

  • What industries benefit the most from using Generative AI?

    Generative AI has the potential to revolutionize various industries by enabling the creation of new and innovative content. From entertainment and media to healthcare and fashion, the applications of generative AI are vast and promising. Whether it is generating virtual characters in video games, synthesizing medical images, or creating personalized fashion designs, generative AI is poised to reshape the future of multiple industries and unlock new levels of creativity and efficiency.

  • What are the future trends and developments in RAG technology?

    Future trends in RAG technology include improved algorithms for more accurate information access. Enhanced neural networks, particularly transformer architectures, will drive the evolution of RAG, enabling faster and more reliable data processing. These advancements will make AI systems more efficient in identifying patterns and generating contextually relevant responses, significantly improving user interactions. In our Applied Generative AI course, you will learn about these trends and developments, gaining insights into the future of RAG technology and its applications.

  • How will learning the Microsoft Copilot help in career advancement?

    Learning the Microsoft Copilot boosts your career by providing you with advanced skills in AI-powered tools that enhance productivity. Gaining proficiency with Microsoft Copilot enables you to enhance decision-making through insightful insights, automate tedious operations, and optimize workflows. This expertise is highly valued in various industries, increasing your potential for career growth.

  • What are the key advantages of using RAG for business intelligence?

    Implementing RAG for business intelligence offers several key advantages that enhance decision-making, resource management, and market competitiveness. These benefits include:

    1. Access to Vast Information: RAG combines retrieval-based and generative models to access a large corpus of data. This significantly improves the quality and relevance of the generated insights.

    2. Real-time Information: RAG retrieves the most up-to-date information from various sources, ensuring that business intelligence is based on the latest data available.

    3. Contextual Understanding: By retrieving relevant documents before generating responses, RAG ensures that the content is contextually accurate and directly relevant to the query.

    4. Better Understanding of Queries: RAG excels in understanding and interpreting complex queries, providing more accurate and comprehensive responses.

    5. Tailored Insights: RAG provides insights tailored to specific business needs and contexts, offering more personalized and actionable intelligence.

    6. Enhanced Functionality: Integrating RAG with existing business intelligence tools significantly boosts their functionality, making traditional BI tools more powerful and versatile.

  • 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.