AI Product Engineering
& Agentic AI Program
A 9-Month Advanced AI Product
Development Program
Learn AI • Engineer AI Systems •
Build AI Products • Launch Real Solutions
Program Overview
A premium, practical program for learners
who want to move beyond basic AI tools and
learn how to design, build, automate and deploy
real AI-powered products and systems. Learners
progressively move from AI engineering and LLM
applications to RAG, autonomous agents,
multi-agent systems, production architecture,
AI SaaS and industry-oriented product development.
Who Is This Program For?
- Students and graduates interested in
advanced Artificial Intelligence and
product development. - Learners who already have basic programming
or AI exposure and want to progress into
advanced AI engineering. - Aspiring AI engineers, AI product developers,
automation specialists and AI solution builders. - Learners who want to build strong, practical
AI portfolios and deploy real applications.
What Makes This Different?
- The focus is not only on learning concepts
— it’s on engineering real systems. - A structured, progressive path from LLM
fundamentals to autonomous and multi-agent AI. - Every module is anchored to a hands-on,
industry-relevant build. - Culminates in a fully deployed AI SaaS product
and a professional portfolio.
Program Focus Areas
9-Month Learning Roadmap
| Month | Focus |
|---|---|
| 01 | Advanced Python & AI Software Engineering |
| 02 | Advanced LLM & Generative AI Engineering |
| 03 | RAG & AI Knowledge Systems |
| 04 | Agentic AI Engineering |
| 05 | Multi-Agent Systems & AI Automation |
| 06 | AI Backend & Production Architecture |
| 07 | AI SaaS & Product Engineering |
| 08 | Industry AI Product Development |
| 09 | AI Product Launch, Portfolio & Professional Development |
Flagship Project Portfolio
Enterprise RAG Knowledge System
Build a document-grounded AI knowledge system
using document ingestion, embeddings, retrieval
and contextual responses.
Autonomous AI Agent
Build an AI agent capable of receiving tasks,
using tools, researching information and
producing structured results.
Multi-Agent Business Automation System
Build coordinated AI agents and automation
workflows around a practical business use case.
Production AI SaaS Product
Take an AI product from idea and architecture
through development, AI integration,
authentication, payment, deployment
and demonstration.
Program Outcomes
- Advanced practical AI engineering capability
- Hands-on Generative AI and LLM
application development - RAG and enterprise knowledge system development
- Agentic AI and multi-agent system development
- Advanced AI automation and API integration
- Production backend and deployment skills
- AI SaaS and product engineering experience
- A strong portfolio built around major projects
- Experience presenting and documenting AI products
- Professional preparation for AI-focused careers
Career Pathways
Enquire Now
| Admissions | Contact us for batch & fee details |
| Organisation | Future Optima IT Solutions Pvt Ltd |
| Program | AI Product Engineering & Agentic AI |
| Duration | 9 Months |
| Fee | ₹1,00,000 |
Frequently Asked Questions
What is the fee for the AI Product Engineering & Agentic AI Diploma?
This 9-month AI Product Engineering course in Kochi costs ₹1,00,000 and covers Generative AI, RAG, Agentic AI, multi-agent systems and AI SaaS product development.
How long is the AI Product Engineering course in Kerala?
The programme runs for 9 months, moving from AI engineering fundamentals through Agentic AI to a production-deployed AI SaaS product.
What projects will I build in this Agentic AI programme?
Students build an Enterprise RAG Knowledge System, an Autonomous AI Agent, a Multi-Agent Business Automation System, and a Production AI SaaS Product as part of the flagship project portfolio.
Who should join the AI Product Engineering & Agentic AI Program?
Students and graduates with basic programming or AI exposure who want to become AI product engineers, automation specialists or AI solution builders.
What career roles can I pursue after this course?
Graduates can pursue roles such as AI Engineer, AI Product Engineer, Agentic AI Engineer, AI Automation Engineer and AI SaaS Builder.
Does this Agentic AI program cover LangChain, CrewAI and vector databases?
Yes. The programme includes hands-on work with LangChain, CrewAI, Retrieval Augmented Generation (RAG), vector databases, and Model Context Protocol (MCP) style tool integrations while building the flagship AI SaaS product.
