Professional Certificate Program In Gen AI
Carrer Support
Duration
Delivery Mode
Language
English
Level
Beginner to
Intermediate
200+ Placed
Live Training
1:1 Mentorship
EMI Available
Everything You Get in This Course
Industry-Focused Projects
- 5+ real-world projects
- Build job-ready portfolios
- Hands-on problem solving
- Practical exposure to industry scenarios
Career Support
- Resume & LinkedIn profile building
- Job placement assistance
- Mock interviews & interview prep
- Career guidance from experts
- Opportunities to showcase your skills
Live Instructor-Led Training
- Live interactive sessions
- Weekday & Weekend batches
- Recorded sessions for revision
- 24×7 mentor support
- Doubt-solving & guided learning
Hands-On Learning
- Practical hands-on projects
- Real-world case studies
- Data-driven problem solving
- Industry-relevant assignments
- Learn by doing approach
Certification
- Industry-recognized certification
- Proof of skill & course completion
- Shareable digital certificate
- Adds value to your resume
- Valid for career growth
Networking
- Peer-to-peer learning environment
- Collaborate on projects
- Community discussions & support
- Networking with like-minded learners
- Knowledge sharing sessions
Capstone Project & Mentorship
- Final capstone project
- Apply all learned concepts
- Guided by industry mentors
- Real business problem solving
- Career-focused project experience
Master these Tools
Course Curriculum
1.Programming 101
- 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
2.Create ShopAssist Al
- An Automated Conversational Bot that helps customers discover products on an ecommerce website
- Define the different components of the bot and design the workflow for creating the bot
- Understand the working of LLMs like GPT-3 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
- 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
3.Create Mr.HelpMate Al
- A customer-facing chatbot that answers questions by scanning an organisation’s custom data
- 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 answers using similarity search over embeddings
- Scale the Q/A system by making use of vector stores like ChromaDB
- Embed, index large documents and search in vector stores
- Integrate LLM chat models like GPT with semantic search to build a retrieval-augmented generation (RAG) system that directly responds to user queries
- Experiment with different vector stores, search and index algorithms, and LLMs to improve the chatbot
4.SemanticSpotter
- Mr. HelpMate AI on Steroids: Use LangChain/LlamaIndex to create a chat-based knowledge retrieval system that answers questions on fine-tuned data
- Define the components of the knowledge retrieval system and design the workflow
- Explore how LangChain/LlamaIndex 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 vector store options present in LangChain
- Divide the documents into chunks and apply the LLM to create embeddings and extract entities for the document chunks and store them in the vector store
- Construct the Search Index and Entity Store and create functionality to update them with every user question
- Use the Chain functionality of LangChain to connect all the components
- Build data indexes in LlamaIndex for efficient consumption of LLMs
- Create query engines, chat engines, and data agents
- Integrate LangChain and LlamaIndex together
- Evaluate the results and improve them by experimenting with different LLMs, indexing, and embedding algorithms
- Apply fine-tuning using OpenAI APIs to train an LLM on custom data
- Learn best practices for fine-tuning OpenAI APIs
- Apply Low-Rank Adaptation (LoRA) while fine-tuning to accelerate training of large models while consuming less memory
- Explore other agents and tools to improve the system, such as adding automatic email notifications for issues
5.Scale & Deploy Generative AI Systems
- Explore the Generative AI services offered by various cloud services
- Modify the workflow design of a 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
- Future Developments in Generative AI
- Mitigating risks in AI: Responsible AI
- RLHF as a Product to train your own LLM
- Multimodal Learning: Audio, Image, Text, Heatmap among others within an LLM
6.Create PixxelCraft AI
- Enable generation of accurate, high-quality images for a large product portfolio
- 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 auto-encoders 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 an image generation model and a language generation model to build an application that solves a real-world use-case problem
7.Create ShrewdNews AI
- Automate News Recommendation using LLM-powered Machine Learning
- 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 modeling
- 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
Who Can Enroll in Our Courses
Future-Ready Students
Get ahead in campus placements by mastering in-demand AI and tech skills.
Aspiring Tech Professionals
No prior experience required — learn step-by-step from core fundamentals.
Working Professionals
Flexible schedules so you can upskill and grow while working full-time.
Fresh
Graduates
Become job-ready with hands-on projects and an industry-focused portfolio.
Enquire Now
Fees Structure
Total Amount:- 69,999/-
EMI Options
| No Cost EMI | Standerd EMI |
|---|---|
| 12287/ Month (For 6 Month) | 3495/ month (For 24 Month) |
Fees Structure
Meet Your Expert Mentors
Rishu Raj Verma
Ashutosh Sharma
Bhawana aggarwal
Pawan Singh
Sandeep Sharma
Dilip Andrew
Joan Sebastian Cruz García
Mrinalini Agarwal Singh
Ashutosh Sharma
Rishu Raj Verma
Bhawana aggarwal
Get certified by Start2Skill
Earn industry-backed
Recognition and Career Opportunities
Industry-Endorsed Certificate
Get certified upon course completion with a recognized credential, validating your skills in Data Science andBusiness Intelligence.
Strong Peer Network
Become part of a thriving community of learners and
professionals from top companies.
Recognized Across Industries
Our certification is trusted by hiring managers across domains—ideal for career switchers and freshers alike.
Industry-Ready Success Stories
The Path to Your Tech Career
Talk to a Program
Advisor
Book a free 1:1 counselling call
Enroll in the Right
Course
Get a plan matched to your goals & level.
Learn with Live + Hands-on Projects
Attend live classes and build r
Get Career Guidance & Placement Support
Resume, interviews & job referrals.
Frequently Asked Questions
What are the key modules in the Gen AI Professional Certificate Program?
The program covers the full spectrum of Generative AI, starting with Large Language Models (LLMs) like GPT-4 and Claude. You will master Prompt Engineering, Retrieval-Augmented Generation (RAG), and the orchestration of AI agents using frameworks like LangChain. Additionally, the course deep dives into Stable Diffusion for image generation and the ethics of Responsible AI in enterprise environments.
Which hands-on tools and frameworks will I master?
Students gain practical experience with industry-standard tools including OpenAI API, Hugging Face, and Pinecone for vector search. You will also learn to use Python for AI development, Streamlit for building AI app interfaces, and Midjourney for creative workflows. Mastering these “stack” components ensures you are ready to build production-grade AI solutions.
Does this course cover "Agentic AI" and Autonomous Workflows?
Yes. A core pillar of our program is moving beyond simple chat interfaces to Agentic AI. You will learn how to design autonomous agents that can plan tasks, use external tools (Google Search, APIs), and collaborate in multi-agent systems to solve complex business problems without constant human intervention.
What real-world Gen AI projects will I add to my portfolio?
You will build a professional portfolio featuring 3–5 high-impact projects, such as a Custom AI Chatbot trained on private data (RAG), an Automated Content Generation Engine, and a Task-Oriented AI Agent. These projects demonstrate your ability to solve real-world problems using Generative AI, making your resume stand out to tech recruiters.
Is this Gen AI certification suitable for non-technical professionals?
Absolutely. While we provide technical tracks for developers, the program is designed for Product Managers, Marketers, and Business Leaders who need to implement AI strategies. We offer “Low-Code” and “No-Code” paths, ensuring every student understands how to leverage AI to automate workflows and drive business ROI regardless of their coding background.
How does Start2Skill support my career transition into AI?
We provide end-to-end Career Excellence Support, which includes AI-specific resume reviews, LinkedIn profile optimization for “AI Engineer” and “AI Consultant” roles, and mock interviews. Our graduates also gain access to Start2Skill’s hiring network, connecting you with companies actively seeking talent to lead their AI transformation initiatives.
Why choose this program over free AI tutorials found online?
Unlike fragmented tutorials, Start2Skill offers a structured, industry-validated roadmap led by experts currently working in the AI field. You receive live mentorship, 24/7 doubt-clearing support, and a recognized certification. Most importantly, we focus on “Applied AI,” teaching you not just how the models work, but how to deploy them securely and scalably in a professional setting.