Executive Program in
AI Engineering & Agentic AI
Go from AI engineering foundations to production GenAI: LLMs, prompt engineering, RAG, AI agents, fine-tuning and deployment. A 12-week live cohort with 25+ hands-on projects and a deployed capstone.
Built for the next AI Engineer
Python developers
Step into AI engineering and start building LLM, RAG and agent applications with confidence.
Engineering & CS students
Graduate with a real portfolio of 25+ AI projects and a deployed capstone employers can see.
Software pros & data enthusiasts
Shift into AI and ML roles with production skills across the full GenAI stack.
Twelve weeks, the full GenAI stack
From AI engineering foundations and PyTorch to RAG, agents, fine-tuning and LLMOps deployment.
Foundations & LLM APIs
AI engineering, the modern AI stack, Python for AI and working with LLM APIs.
ML & deep learning
Just-enough ML, embeddings and deep learning with PyTorch from the ground up.
Transformers & LLMs
NLP, tokenization, the transformer architecture and how large language models work.
Prompting & RAG
Prompt engineering, structured outputs, and retrieval-augmented generation end to end.
Agents & fine-tuning
AI agents, tool use, orchestration, and fine-tuning with LoRA and PEFT.
Deploy & LLMOps
Serving with FastAPI, Docker, guardrails, monitoring and a deployed capstone.
Learn from two AI practitioners
Jenefer Rexee George
Jenefer Rexee George is an AI and ML Data Consultant and Software Engineer (AI/ML) who builds intelligent systems that combine data, machine learning and modern AI to solve real-world problems.
Meet your mentors →
Daisy Grace Thomas
Daisy Grace Thomas is an AI Product and Automation Engineer and Business Analyst with 9+ years delivering enterprise solutions across IT services, EdTech, finance and aerospace.
Meet your mentors →One fee. The full AI engineer skill set.
- 36 live mentor-led sessions across 12 weeks
- 25+ hands-on projects and labs
- LLMs, RAG, agents, fine-tuning & deployment
- PyTorch, transformers, vector DBs, FastAPI & Docker
- 1 deployed capstone + GitHub portfolio & demo
- Peer review, AI Showcase certificate & community access
Program fee ₹30,000 + 18% GST (₹35,400 all-in). See how this compares →
Become a job-ready AI Engineer in 12 weeks
This is an execution-first, live cohort program. Across 36 mentor-led sessions you move from AI engineering foundations to building and deploying real GenAI systems: LLM applications, retrieval-augmented generation, AI agents, fine-tuned models and monitored production services. Every week pairs a guided mini-lab with a main build, so you leave with a portfolio, a deployed capstone and a community, not just a certificate.
The schedule
36 live sessions run across 12 weeks, with three sessions each week on Monday, Thursday and Saturday or Sunday, from 8 pm to 9 pm IST. Sessions are mentor-led with live Q&A, code reviews and async community support between classes. Batches commence regularly due to high demand.
Fee and what's included
The program fee is ₹30,000 plus 18% GST, which is ₹35,400 all-in. It includes all 36 modules, 25+ projects and labs, a deployed capstone, a GitHub portfolio and demo, peer review, an AI Showcase certificate and CareerByteCode community access.
What you walk away with
Real experience with LLMs, RAG, agents, fine-tuning and deployment, a public GenAI product for your portfolio, and a clear path into AI Engineer roles through our community and earning pathway.
Common questions
What is the Executive Program in AI Engineering & Agentic AI?
How much is the program fee?
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Who teaches it?
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Can I earn or freelance after completing this program?
How does the CareerByteCode community support me after the course?
Finish with the CareerByteCode Certified AI Engineer credential
Complete the program and earn a verifiable certificate you can add to LinkedIn and your resume. It is built to be recognised fast by recruiters and to give your job search a concrete proof point.
Certificate of Completion
This certifies that
Your Namehas successfully completed the program
AI Engineering and Agentic AI
CareerByteCode Certified AI EngineerDirector, CareerByteCode
Credential ID
CBC-AIENG-2026-0001
Sample certificate. Every graduate receives one with their own name and a unique verifiable ID. Each certificate is valid for 1 year from its issue date.
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Verifiable in seconds
Each certificate carries a unique ID and a public verify link, so a recruiter can confirm it is real without contacting you.
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Add it to your LinkedIn
It drops straight into your Licenses and Certifications section using the issuer name, issue date, and credential ID.
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Proof you can do the work
It is awarded for completing real, project-based work, not for watching videos, so it signals applied skill to hiring teams.
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Speaks the recruiter's language
A clear, role-titled credential that matches the terms hiring teams and ATS filters actually search for, helping you move faster through screening.
Every certificate is verifiable. Check any credential ID at careerbytecode.in/verify.
What you walk away with, and where you grow
You finish with a deployed GenAI capstone and a real AI portfolio. Then you keep growing through our community and earning from your skills.
Full-stack AI skills
LLMs, RAG, agents, fine-tuning and deployment, applied across 25+ real builds.
AI Showcase certificate
Peer-reviewed work and a CareerByteCode AI Showcase certificate.
A path into AI roles
Career and interview prep for landing AI Engineer roles.
Grow through our community
Join a global community. Showcase your capstone, stay visible to recruiters and clients, and keep learning long after the cohort ends.
Earn from your skills
Turn AI engineering skills into income through freelancing, client work and consulting, with a real earning pathway.
Ready to become an AI Engineer?
Join the next live cohort, build 25+ real AI projects, and ship a deployed GenAI capstone.
What graduates say
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