PG Executive Agentic AI & Generative AI
Master autonomous AI agents and Generative AI systems at an executive level.
Program Overview
Master autonomous AI agents and Generative AI systems at an executive level. Build applications on top of large language models, design RAG systems, work with vector databases, and orchestrate multi-agent workflows.
Curriculum
8 modules
01Python & Deep Learning- Python & Deep Learning
- Python & Deep Learning
02LLM Foundations- LLM Foundations
- LLM Foundations
03Prompt Engineering & RAG- Prompt Engineering & RAG
- Prompt Engineering & RAG
04Vector Databases- Vector Databases
- Vector Databases
05Agentic AI (CrewAI & LangGraph)- Agentic AI (CrewAI & LangGraph)
- Agentic AI (CrewAI & LangGraph)
06Multi-Agent Systems- Multi-Agent Systems
- Multi-Agent Systems
07MLOps- MLOps
- MLOps
08Executive Capstone- Executive Capstone
- Executive Capstone
Earn a Certificate of Completion
Validate your skills and enhance your profile with an industry-recognized certificate upon successfully completing this program.
What You'll Be Able to Do
- Design and deploy goal-oriented autonomous AI agents
- Implement production-grade RAG pipelines with Pinecone/Qdrant
- Orchestrate multi-agent networks for complex enterprise automation
- Deploy and monitor LLM applications in production with MLOps
Skills Covered
Tools & Technologies
Explore the full module-by-module breakdown of this program.
View Detailed CurriculumTrainer Information
Practitioners, not lecturers
You learn live from people building AI systems, each leading their domain in the cohorts.
Mr. Parikshith T T
Full Stack Engineer & Product Mentor
4+ Years ExperienceFull Stack Engineer & Product Mentor
Parikshith brings production engineering discipline to the program, helping learners turn AI prototypes into complete, deployable products. He covers everything from API design and authentication to deployment, so learners graduate with a real portfolio, not just notebooks.
What Our Students Say
“I moved from a senior software role into ML engineering at Google. The guarantee meant there was no risk in trying, I just had to commit to the work.”
Arjun Mehta — Google
“Coming from a business analyst background, I wasn't sure AI was reachable for me. The mentors met me where I was and built up from there.”
Priya Sharma — Microsoft
“Going from backend development to AI engineering felt like a big jump. Having it in writing that I'd either land a better offer or get my money back made the decision easy.”
Vikram Patel — Amazon
“The agentic AI coursework was hands-on from week one, not just theory. That's what carried into my interviews.”
Sneha Reddy — Flipkart
“I started as a junior analyst running static reports. The statistics and Python modules gave me the depth to move into a senior analyst role within six months.”
Rahul Verma — Deloitte
“Research work doesn't translate to industry AI roles on its own. The applied projects here closed that gap and got me onto an AI research team.”
Anita Desai — IBM
The 180-Day Better-Offer Guarantee
Every Empowers Academy program is backed by a signed legal agreement, executed before you pay anything. If you don't land an offer that beats your starting role in pay, title, or scope within 180 days, you get a full refund exactly as agreed in writing.
