Generative AI & Agentic AI Training
Build Skills. Build Projects. Build Your AI Career.
Learn Python, build GenAI applications and create your first AI agents in a practical, mentor-led program for aspiring AI builders.
An 8-week program that takes you from your first line of Python to a portfolio-ready GenAI capstone and interview preparation.
Hybrid Smart Learning
Hands-on Projects
Industry-Relevant Curriculum
Career & Interview Preparation
Mentor Support
Our Flagship Program
One focused 8-week program: Python first, then LLM apps, RAG and AI agents, finishing with a guided capstone.
GenAI & Agentic AI Builder
Learn Python and data libraries, then build LLM apps with LangChain, a document Q&A assistant with RAG and a controlled AI agent.
- Python
- Pandas
- Prompting
- LLM APIs
- LangChain
- RAG
- AI Agents
Duration
8 weeks
Format
Hybrid Smart Learning
Ends with
Guided GenAI capstone
Built for where you are today
Three starting points, one program: Learn, Build, Apply, Get Career Ready.
Any background, any stream
Studying, just starting out or switching careers? Basic computer skills are all you need to start.
New to programming
Python is taught from scratch in the first two weeks, before you touch an LLM API.
Ready to build
Already code? Go further with LangChain, RAG and tool-using agents, and leave with a portfolio project.
Why Learn With OptnGrow?
Training designed the way AI teams actually work: hands-on, project-led and focused on what you can show.
Practical, Not Just Theoretical
Learn concepts by applying them to real datasets and projects.
Industry-Relevant Curriculum
Learn technologies and skills currently used across AI teams.
Learn by Building
Build projects that can become part of your professional portfolio.
Mentor Guidance
Get support from experienced professionals throughout your learning journey.
Career Preparation
Prepare for technical interviews, case studies and real-world problem solving.
AI-First Learning
Go beyond traditional analytics and understand how modern AI is changing the industry.
From first line of code to your first role
A structured path that moves you from fundamentals to a portfolio and interview readiness.
01
Learn the Fundamentals
Python, OOP, NumPy and Pandas.
02
Build Technical Skills
Prompt engineering, LLM APIs, LangChain and RAG.
03
Work on Real Projects
Build GenAI apps and a tool-using agent on practical use cases.
04
Build Your Portfolio
Create projects that demonstrate your skills.
05
Prepare for Interviews
Technical questions, projects, mock interviews and communication.
06
Start Your Career
Use your skills and portfolio to pursue internships and job opportunities.
Learn by Building Real Projects
Don’t just watch tutorials. Build GenAI applications that demonstrate what you can actually do.
Python / LLM API / LangChain
Study Assistant
Summarise study notes and generate practice questions with an LLM, using prompt templates and structured output.
LLMs / Embeddings / RAG
Document Q&A Assistant
Answer questions from a set of supplied documents, show the source passage, and say so when the answer is not there.
Agentic AI / Tool Calling
Task Assistant Agent
An assistant that decides when to call a predefined Python function, uses the result and responds within clear limits.
What You’ll Be Able to Build
No placement promises. Just skills you can demonstrate, on your screen and in an interview.
“I can write Python programs.”
Python · OOP · NumPy · Pandas · Matplotlib
“I can build an LLM-powered application.”
Prompt engineering · LLM APIs · LangChain
“I can build a document Q&A app.”
RAG · embeddings · sources
“I can build a tool-using AI agent.”
Tool calling · guardrails
Learn From Industry Practitioners
Your mentors bring 15+ years of industry experience each.
Mentor Name
Role · Company
15+ years of industry experience
Python · GenAI · RAG · Data Engineering
Mentor Name
Role · Company
15+ years of industry experience
LLMs · LangChain · AI Agents · MLOps
Mentor Name
Role · Company
15+ years of industry experience
Python · Analytics · Cloud · Prompt Engineering
Helping Learners Grow With AI
OptnGrow focuses on practical, career-oriented education in Generative AI and Agentic AI. Our program is shaped by practitioners who build data and AI solutions for businesses every day.
- Practical learning
- Experienced mentors
- Industry-oriented curriculum
- Hands-on projects
- Career readiness
- Continuous learning
Frequently asked questions
Who can join?
Anyone who wants to build with AI, whatever their background or stream. Basic computer skills are enough to start, and Python is taught from scratch.
Do I need prior programming experience?
No. Python is taught from scratch in the first two weeks, before any GenAI application development begins. If you are unsure, a mentor can review your background with you before you enroll.
How are classes delivered?
The program is fully online and hybrid. Core lessons are recorded, so you can learn at your own pace, and we add live online sessions for doubt-solving, project reviews and demos. A mentor shares the live-session schedule for your batch before you enrol, and supports your project work throughout.
How long is the program?
8 weeks, in four phases: Python foundations, Generative AI basics, building GenAI apps, and agents plus a capstone. Ask a mentor about current batch timings.
What will I learn?
Python, OOP, NumPy, Pandas, Matplotlib, prompt engineering, LLM APIs, LangChain, embeddings, vector stores, RAG (document Q&A) and introductory agentic AI with tool calling.
Are projects included?
Yes. Every week has practice work, and the program ends with a guided capstone based on an OptnGrow project brief. You finish with source code, a README and a portfolio entry.
Will I receive a certificate?
You receive an OptnGrow completion certificate when you meet the attendance, submission and assessment requirements, which are shared before you enrol. It is not a government or university accreditation.
Is interview preparation included?
Yes. You practise demoing and explaining your project, answering questions on Python, LLMs and RAG, and preparing a portfolio entry. We help you prepare; we don’t guarantee placement.
Are there any extra costs for AI tools?
Some LLM APIs and hosting tools charge for usage. We use instructor-approved, beginner-friendly options with spending limits, and a mentor will explain any costs before you enrol.
How can I apply?
Fill in the callback form on the Contact page. A mentor will call you, understand your goals and walk you through the next steps.
Can I speak with a mentor before enrolling?
Yes. Book a free counseling session and a mentor will walk you through the curriculum, projects and what to expect, with no obligation to enroll.
Not sure if the program is right for you?
Book a free counseling session. A mentor will look at your background and goals and tell you honestly whether the program fits.