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Course Snapshot
120+
Hours of Learning
6+
Industry Projects
10+
GenAI Tools
Up-to-date Generative AI modules
Learn 10+ Generative AI tools, including a ChatGPT course
Upskill through real projects
Gen AI masterclasses by industry experts
upGrad Alumni Status
Best-in-class curriculum taught by leading academicians and industry experts. Now integrated with Generative AI course modules.
What does this course have to offer?
Generative AI Models
Transformers
ChatGPT
Prompt Engineering
Product Development
Deploy Web Apps with Flask
Earn valuable credentials and recognition
Make your portfolio stand apart with an Advanced Certification in Generative AI
What will you learn?
Industry-relevant curriculum taught by leading faculty & industry experts using videos, case studies, hands-on projects and live online sessions
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
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
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
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.
Identify the cloud services required for creating the scalable system
Expose the system through a chat based front end to the user
Multimodal Learning: Audio, Image, Text, Heatmap among others within a LLM
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
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
100%
Online
6+
Projects
10+
Generative AI Tools
120+
Hours of Learning
Learn by Doing
5+
Industry Projects
Whom will you learn from?
3
Industry Experts
Who've enrolled for this course?
How will upGrad support you?
Get help anytime through the learning helpline.
Access the ‘Call Back’ option for urgent queries regarding the Generative AI program.
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Inclusions
How To Apply
The admissions process for this Generative AI certification course is very easy, and can be done completely online
Eligibility
You should have prior experience with programming—either through academic coursework or professional work.
NEW COURSE
Launch and deploy Gen AI apps
Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.
100%
Online
4 weeks
Python Programming Refresher
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