Advanced Certificate Program in GenerativeAI

While many programs teach you about AI, the upGrad Advanced Certificate Program teaches you how to be at the forefront of this emerging technology by building Generative AI applications. Join this 4 month project based learning program and walk away with the ability to deploy your own tools. Upskill now to stay ahead of the AIvolution.

Key Highlights

Learn about 10+ Generative AI tools

Project based learning pedagogy

6+ Hands-On End-to-End Generative AI Projects

Generative AI certificate upon completion

Gen AI masterclasses by industry experts

120+ hours of learning

Complimentary Python Prep

Student support chatbot Budd-E available 24*7

upGrad Alumni Status

Recommended 14-16 hours/week

Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.”

- Ronnie Screwvala, Co-Founder, upGrad

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Top Skills you Will Learn

Generative AI Models, Transformers, ChatGPT, Prompt Engineering, Product Development, Deploy Web Apps with Flask, Embeddings, Vectorstores, Langchain, Pinecone, Scale and Deploy Generative AI Apps view more

Who Is This Program For?

Engineers, Software and IT Professionals, Data Professionals view more

Minimum Eligibility

Basic Programming Proficiency (should have done progamming before, either in academics or professionally) view more

Job Opportunities

Gen AI Engineer, Data Scientist, Machine Learning Engineer, Data Analyst, Gen AI Internships, GenAI Researcher view more

Programming Languages and Tools Covered

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Generative AI tools covered

Your GenAI learning journey

Learn more about successful career transitions in this program

Casual AI Explorer

Interacts with Generative AI apps for fun, exploration and curiosity.

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Prompt Engineer

A master of Prompt Engineering who knows the art & science of interacting with Generative AI structurally to get desired outputs for complex tasks.

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GenAI Pro

An effective user who has expertise across a variety of Generative AI tools and outputs such as images, videos, code, etc.

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GenAI Developer

Can integrate Generative AI tools with products & applications to automate, customise and create efficient genAI- enabled software & data solutions.

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Curriculum designed by AI experts

Industry Practitioners

Learn from AI's leading industry leaders

Georgios Ouzounis

Head of ML Engineering

Technologist and visionary with over 22 years of experience and serving as the head of ML Engineering at Atlas AI in California, USA

Kshitij Jain

AVP, Data Science & ML Programs, upGrad

Kshitij is an Associate Vice President at upGrad who leads the learning experience and development of Data Science, Machine Learning and AI programs and projects.

Ankush Chopra

Director at Tredence Inc.

Ankush is an M. Tech graduate from IIT Kanpur and has 10+ Years of hands-on Data Science experience delivering data and ML solutions for fortune 500 clients, across Telecom, Retail, Healthcare, and Finance industry.

Syllabus

Best in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

5+
Projects
60+
Hours of Learning

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
Apply prompting techniques to create prompts for asking questions and evaluating the customer's response
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
Integrate speech input using OpenAI's Whisper API
Deploy and launch ShopAssistAI application on Flask/Gradio
Iterate and improve the UI of the app using ChatGPT's code writing capabilities

Understand the working of multimodal models like Stable Diffusion: Denoising, Diffusion, Autoencoders, Contrastive Learning, Shared Embedding Spaces
Apply image prompting techniques on Dall-E and Midjourney to generate desired product images using various stable diffusion methods and prompt parameters such as style, ratios, seeds, FPS
Understand and apply the fundamentals of style, design and photography to improve image quality and accuracy with prompt iteration and few-shot prompting
Apply self-consistency, seeding and standardised formatting in prompting to create consistent styles and designs across hundreds of product images
Generate product descriptions along with images using various instructor-tuned models and APIs

Understand prompting for code generation and generate accurate codes for data science tasks in a larger ML problem using GPT and Copilot
Read, load and embed large datasets and tables to read your data with GPT/Copilot
Perform data cleaning and analysis by both generating code & writing direct prompts to GPT
Write prompts for data analysis tasks and insights in accordance to the business problem and objectives
Perform semi-automated modelling, fine-tuning and evaluation for various regression, classification and clustering problems

Define the components of Chatbot
Understand when to use embedding over fine tuning
Understand the working of embeddings and how they help in semantic search
Create and analyse embeddings for semantic search
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 Pinecone
Embed, index large documents and search in Vectorstore
Integrate LLM chat models over the searched embeddings to respond to the customer
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 Azure: Azure OpenAI services
Modify the workflow design of knowledge retrieval system for scalability
Identify the Azure 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

Admission Process

There are 3 simple steps in the Admission Process which is detailed below:

Step 1

Complete your Application

Fill the details required for your successful application.

Step 2

Review+Shortlisting Suitable Candidates

On selection, an offer letter will be sent confirming your admission to the program.

Step 3

Claim your seat

Pay the block amount and claim your seat. You may also consult our loan partners.

APPLY NOW

Admission Process

There are 3 simple steps in the Admission Process which is detailed below:

Step 1

Complete your Application

Fill the details required for your successful application.

Step 2

Review+Shortlisting Suitable Candidates

On selection, an offer letter will be sent confirming your admission to the program.

Step 3

Claim your seat

Pay the block amount and claim your seat. You may also consult our loan partners.

Coming Soon

Features/Benefits

Adding the most in demand skill in AI on your CV
Open yourself to the most in demand jobs
Career Acceleration in your current role
Cutting-edge curriculum designed by industry experts

Empowering learners of tomorrow

Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

- Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist.

- Specialisation: Get an option to upgrade to Executive PG Programme in Data Science and choose from 5 specialisations

Frequently Asked Questions

Engineers, Software and IT Professionals, Data Professionals

Basic Programming Proficiency (should have done progamming before, either in academics or professionally)

The admissions process is completely online. The following are the key steps in the application process:
STEP-1: Complete your Application Fill the details required for your successful application

STEP 2: Review and Shortlisting of Suitable Candidates Upon selection, an offer letter will be sent to you confirming your admission to the Advanced Certificate Program in GenerativeAI

STEP 3: Claim your seat Claim your seat by paying the block amount. You may also avail assistance from our loan partners. Your journey to be a GenAI engineer begins now!

Post successful completion of this program, you will get certificate from upGrad.

You will need to spend 6+ hrs/week to get optimum results and learn.

Overall, this program will have video content broken down into small easy-to-complete segments that you can watch on the go-across devices. The remaining hours of engagement will be a mix of industry projects, live instructor sessions, mentoring sessions.

The curriculum is developed by the experts from upGrad, which makes it extremely relevant to working professionals.

Along with it, our Support Services, Career Assistance, and Live Sessions make it a classroom experience, which no one else in the market can offer.

Our programs have a strong experiential component that will prepare you to apply your learning on the job. Learn - Experience - Apply. Case Studies and industry projects will help you to experience real-life challenges in Management. These will enable you to step into the shoes of leading managers at companies and put to use the theoretical learning in an experiential manner. Post this programme, these will serve as a portfolio of projects you can illustrate to advance your career.

Refund Policy:

1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. For post program refund please connect with your Admissions Counselor to understand the policy. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.

2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.

3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.

upGrad Learner Support

Call us now

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Write to us at info.emea@upgrad.com

Available from 9 AM to 8 PM GMT (Monday - Friday).

*All telephone calls will be recorded for training and quality purposes.
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Advanced Certificate Program in GenerativeAI

Programme Overview

Syllabus

Programming Languages and Tools Covered

Generative AI tools covered