Live classes · Hands-on
Generative AI & Agentic AI Certification Program
Learn to build real Generative AI applications: LLMs, RAG, and AI Agents. Live, in Kannada.
- Build real Generative AI projects, not just watch theory
- Learn 10x faster: every concept explained in Kannada
- Trained live by engineers with experience at OpenAI, Amazon, Google, NVIDIA and more
- Master LLMs, Prompt Engineering, RAG, and Agentic AI systems
3–4 monthsprogram length
6curriculum modules
6roles this prepares you for
OpenAIBedrockMCP
OpenAI
Bedrock
MCP
CrewAI
Chroma
Gradio
Pinecone
Pydantic
Docker
Streamlit
OpenAI
Bedrock
MCP
CrewAI
Chroma
Gradio
Pinecone
Pydantic
Docker
Streamlit
// Why this matters right now
Built to ship, not just to explain.
01
Every company is racing to adopt Gen AI
Being able to actually build with it, not just talk about it, is what makes you stand out.
02
LLMs are becoming core infrastructure
Prompt engineering, RAG, and agents are turning into skills as fundamental as APIs and databases.
03
Agentic AI is the next wave
Multi-agent systems that reason and act on their own are where the field is heading next.
04
You leave with real projects
Not slides. Actual Gen AI applications you built yourself and can demo.
// The curriculum
What you’ll learn
No prior experience needed — start with the fundamentals, finish production-ready.
01
AI Foundations, LLMs & Prompt Engineering
02
Python for AI Engineering
03
No-Code AI Automation (n8n)
04
RAG Systems (Application-Level RAG)
05
AI Agents (Single-Agent Systems)
06
Real-World Projects
// Your stack
10 tools you’ll use for real.
OP
OpenAIBE
BedrockMC
MCPCR
CrewAICH
ChromaGR
GradioPI
PineconePY
PydanticDO
DockerST
Streamlit// Where it leads
6 roles.
Roles you can target
Pick your path.
AI Developer / Gen AI Engineer
Designs and builds Gen AI apps using LLMs and APIs like OpenAI, Bedrock, and Gemini.
LLM Application Developer
Integrates AI APIs and frameworks like LangChain, CrewAI, and LangGraph into real business applications.
Agentic AI Engineer
Builds multi-agent systems capable of reasoning, collaboration, and autonomous execution.
AI Product Builder
Develops AI copilots and assistants that solve domain-specific problems.
AI Solutions Architect
Designs scalable, secure AI workflows across LLMOps, RAG, and orchestration frameworks.
Data & Cloud Professional (AI Track)
Upskills into Generative AI to deploy AI applications on AWS, Azure, and GCP.
// Questions
Before you ask.
3 to 4 months of live, instructor-led classes.
No. The program starts with Python fundamentals built specifically for AI engineering.
Real Gen AI projects: RAG systems and AI agents, not just theory.
A course completion / internship certificate, plus real projects you can showcase.
Yes. Resume building, mock interviews, and career-oriented sessions.
// Start this week
Your first step is one message away.
Talk to us on WhatsApp or give us a call. No forms, just a quick conversation about whether this program is right for you.