Advanced Certificate Program in Generative AI
Learn to launch and deploy Gen AI Apps leveraging Open AI, Dall-E, and more.
Advanced Certificate in Generative AI
Launch and deploy Gen AI apps with an industry-ready, project-led curriculum.
Program Overview
The Advanced Certificate in Generative AI from upGrad helps you build, fine-tune, and deploy real GenAI applications. You’ll master prompt engineering, RAG systems, LLM orchestration, multimodal generation, and practical deployment—backed by Microsoft AI Immersion and NSDC certification for job-ready credibility.
Top Benefits
Government Recognition: Government-recognized NSDC certification
Masterclass: Microsoft AI Immersion (hands-on masterclasses)
Live Projects: 6+ portfolio-grade projects with real deployments
Expert Support: 120+ guided learning hours with expert support
Networking: upGrad Alumni Status and networking
5 Months
Duration
Advanced Certificate
Type
15-Jan-26
Admission Deadline
About UpGrad
UpGrad’s GenAI program combines practitioner-led teaching, 1:1 support, and hands-on builds to accelerate your GenAI career. 100% online learning designed for working professionals 120+ learning hours, 6+ industry projects, 10+ GenAI tools Microsoft AI Immersion and NSDC-recognized certification
Course Details
Course Duration
5 months (online)
Certification
Advanced Certificate from upGrad + NSDC certificatio
Curriculum
Up-to-date GenAI modules with real deployments
Mode
Live sessions, recorded content, hands-on projects
Support
Dedicated student support, expert feedback, Q&A forum
Tools
ChatGPT/OpenAI, LangChain, LlamaIndex, Hugging Face, AWS, Pandas, NLTK
Who is this Program For?
- Engineers looking to transition into AI and machine learning roles.
- Software & IT Professionals aiming to upskill in generative AI and LLM-based applications.
- Data Professionals (analysts, scientists, BI specialists) who want to deepen their expertise in AI-driven workflows.
- Product Managers & Tech Entrepreneurs building or managing AI-enabled products and solutions.
- Programming Knowledge who want to future-proof their careers in an AI-first world.
Key highlights
- Strengthen programming fundamentals including data structures, functions, loops, and Python workflows for data and text processing.
- Master prompting techniques, reasoning prompts, evaluation metrics, and LLM operations for real-world applications.
- Build semantic search, vector stores, chunking pipelines, and complete retrieval-augmented generation (RAG) systems.
- Develop and deploy AI apps using Flask backends, vector DBs, LangChain agents, and production-ready architectures.
- Learn VAEs, GANs, diffusion models, and stable diffusion pipelines for advanced image generation tasks.
- Build portfolio-ready GenAI applications reinforced by Microsoft-backed Immersion training.
Tools You Will Learn
Where This Program Can Take You
Your Post-Program Opportunities
Step-by-Step Roadmap to Mastery
1
Python Refresher (4 weeks)
Conditionals, loops, functions, data structures, pandas, best practices
2
GenAI Foundations
Prompting, metrics, evaluation, Linux setup, local environment
3
LLMs in Practice
Prompt engineering, embeddings, semantic search, RAG
6
Microsoft AI Immersion + Capstone
End-to-end solutioning, polish, portfolio readiness
5
Multimodal & Diffusion
VAEs, GANs, diffusion models, stable diffusion pipeline
4
Build & Ship Apps
Flask deployment, UI iteration, vector stores, LangChain agents
1
Python Refresher (4 weeks)
Conditionals, loops, functions, data structures, pandas, best practices
2
GenAI Foundations
Prompting, metrics, evaluation, Linux setup, local environment
3
LLMs in Practice
Prompt engineering, embeddings, semantic search, RAG
4
Build & Ship Apps
Flask deployment, UI iteration, vector stores, LangChain agents
5
Multimodal & Diffusion
VAEs, GANs, diffusion models, stable diffusion pipeline
6
Microsoft AI Immersion + Capstone
End-to-end solutioning, polish, portfolio readiness
30-min One on One Free Career Counseling
Our expert counselors will guide you to choose the right course based on your goals, background, and career aspirations.
Curriculum
- Introduction to Python and Programming
- Python Data Types, Variables, Operators, Data Structures
- Python Programming Constructs: Conditionals, Loops, Functions
- UDFs, Best Coding Practices and Exception Handling
- Python for Data Science and Pandas: Working with relational databases, Data Cleaning, Preprocessing, Analysis
- Advanced Text Processing using Pandas
- Basics of Linux: Commands, Setting up Local Environment
- Define the different components of the bot and design the workflow for creating the bot
- Understand the working of LLMs like GPT3 that power ChatGPT: Attention Mechanisms, Transformers, Reinforcement Learning, RLHF among others
- Apply prompting techniques to create prompts for asking questions and evaluating the customer's response
- Establish metric(s) to measure model performance
- Prompt Engineering: Improve the assistant's responses by applying simple (non-reasoning) prompting techniques
- Prompt Engineering: Improve the assistant's accuracy by applying Chain of Thought reasoning-based prompting techniques
- Apply fine-tuning using OpenAI APIs to train an LLM on your custom data
- Learn the best practices for fine tuning OpenAI APIs
- Transfer learning: Apply the same principles to other problems in your domain
- Deploy and launch ShopAssistAI application on Flask
- Iterate and improve the UI of the app using ChatGPT's code writing capabilities
- Understand various search techniques and the generative search paradigm
- Understand the working of embeddings and how they help in semantic search
- Create and analyse embeddings for semantic search
- Understand the entire semantic search pipeline including chunking, embedding, and retrieval
- Create embeddings for large documents by creating chunks
- Create a Q/A system that fetches answer using similarilty search over embeddings
- Scale the Q/A system by making use of vectorstores like ChromaDB
- Embed, index large documents and search in Vectorstore
- Integrate LLM chat models like GPT with the semantic search to build a retrieval augmented generation system that directly responds to user queries
- Experiment with different vectorstores, search and index algorithms and LLMs to improve the chatbot
- Define the components of the knowledge retrieval system and design the workflow
- Explore how LangChain can connect the different components of the system
- Understand the different parts of LangChain - Models, Prompts, Indexes, Chains, Memory and Agents
- Explore the different tools in LangChain and initialise an agent that uses the tools to read different types of files or data present in the company database
- Build the backend for the system using Vectorstore options present in LangChain
- Divide the documents into chunks and apply the LLM to create the embeddings and extract entity for the chunks of document and store them in the Vectorstore
- Construct the Search Index and Entity Store and create a functionality to update it with every question that the user asks
- Use the Chain functionality of LangChain to connect all the components
- Evaluate the results and improve them by experimenting with different LLMs, indexing and embedding algorithms
- Explore other agents and tools to improve the system like adding features like automatic email notifications on some issues, etc.
- Explore the Generative AI services offered by various cloud services
- Modify the workflow design of knowledge retrieval system for scalability
- Identify the cloud services required for creating the scalable system
- Expose the system through a chat based front end to the user
- Mitigating risks in AI: Responsible AI
- RLHF as a Product to train your own LLM
- Multimodal Learning: Audio, Image, Text, Heatmap among others within a LLM
- Understand how images are stored and manipulated digitally and work on image processing tasks
- Understand the process by which artificial neural networks and their variants such as convolutional neural networks handle image analysis
- Understand and implement legacy image generation models such as variational autoencoders and generative adversarial networks
- Understand the components of diffusion models and the process by which images are generated and work on building a stable diffusion pipeline component-by-component
- Set up a simple stable diffusion pipeline and create suitable prompts for image generation and use the model to generate relevant images
- Understand prompting for code generation and generate code for data science tasks in a larger ML problem
- Automate ML workflows using language generation models including data preprocessing and machine learning modelling
- Use vector embeddings to solve a real-world use-case problem based on semantic similarity
- Fine-tune language generation models for a particular problem statement and evaluate the model
Our Instructors Have Been There and Done That
Georgois Ouzounis
Head of ML Engineering, Atlast AI
Technologist, visionary and thought leader with over 26 years of experience in the front lines of scientific research, engineering and entrepreneurship in the hi-tech industry and across seven countries.
Ankush Chopra
Director, Tredence Inc
He is a M.Tech graduate and has 10+ yrs exp in delivering Data and ML solutions for fortune 500 clients across Telecom, Retail, Healthcare and Finance Industry.
Kshitij Jain
Ex AVP, Upgrad
Leads the learning and developing experience centre in DS, ML and AI programs and projects
Eligibility and Fee
- You should have prior experience with programming - either through academic coursework or professional work.
- EMI Starts At: INR 4,699/month
- Total Fee: INR 1,06,000* (no taxes applicable)
Success Stories
Real Career Transformations
Kumar Alok
You may not believe but I have never done coding in my life.I did it during this program and was thrilled to see the outcomes coming out of those codes. Just the way. I used to get happy after solving a good (tough) math problems during my school age. Thanks to upGrad for doing a great service to people like us who at the age of 43 can dream to study with budding talents around.
Designation: 15+ Years of Experience
Savita Upadhaya
Learning with IIITB and upGrad has been an experience like no other. Being an online program, you have your worries about how the program and teaching methods will be. My favourite part about the learning experience has been programming through well designed and thoughtful content shared by IIITB professors and industry experts on upGrad platforms. Kudos to upGrad.
Designation: 18+ Years of Experience
Sachin Aggarwal
It has been amazing journey with upGrad till now. Starting with their Program material to Live sessions to Mentor support helps one to always be on track and progress efficiently with Data Science program. My sincere Thanks to the entire team of up-Grad. And Profs of IIITB to show me the path and direction for my dream to become a Data Analyst.
Designation: 4 Years of Experience
Unlock Your Potential with Industry Certifications
Microsoft Certificate
Earn a professional certificate from Microsoft.
NSDC Certificate
Receive the NSDC Certification recognised by the Indian Government, enhancing your employability and career prospects.
Got Questions? We've Got Answers
It’s a future-focused, project-based program that helps you build and deploy real AI applications using ChatGPT, LangChain, OpenAI, and Stable Diffusion, with a Microsoft-backed certification and hands-on training in prompt engineering, model fine-tuning, and app deployment.
The course is ideal for engineers, developers, data scientists, and AI enthusiasts who want to upskill in Generative AI or transition into AI-driven product and data roles.
Yes, a basic understanding of Python or similar programming languages is required since the course involves coding and model-building.
You’ll gain hands-on experience with ChatGPT, LangChain, Hugging Face, OpenAI APIs, Pandas, AWS, NLTK, LlamaIndex, Flask, and Stable Diffusion.
You’ll build end-to-end Gen AI applications like ShopAssist AI, PixxelCraft AI, and ShrewdNews AI — all deployable using OpenAI and Flask.
You’ll receive an Advanced Certificate in Generative AI from upGrad, along with a complimentary Microsoft certification validating your expertise in AI tools and models.
By the end, you’ll be able to build, deploy, and scale AI models, apply prompt engineering techniques, integrate APIs, and create AI-powered business solutions
You can pursue roles like Generative AI Engineer, AI Product Manager, Machine Learning Specialist, AI Researcher, or Data Scientist (AI-focused).
The course runs for 5 months with 120+ learning hours and costs ₹1,06,000, with EMI plans starting at ₹4,699/month.
Apply online through upGrad → get shortlisted → receive your offer letter → reserve your seat by paying ₹10,000 to begin.
Yes, basic programming knowledge is required since the course is hands-on and project-based. It builds on your existing skills to teach advanced Generative AI concepts.
