AI Engineering CourseBuild Production AI Systems with RAG,
Agentic AI & MCP
A live, instructor-led programme for developers who want to build, deploy, and ship production AI systems — not just use AI tools.
- 8 modules: RAG, Agentic AI, LangChain, MCP and production deployment
- Live code review and project feedback from a practitioner instructor
- All 5 projects deployed and published to your GitHub portfolio
- Free AI Career Strategy Call — no payment required
Free consultation · No payment required · Response within business hours
Book Your Free AI Career Strategy Call
Our instructor reviews your background and tells you if this programme fits your goals.
2026 AI Skills Market
Why AI Engineering is One of the Fastest-Growing Technical Skills in 2026
The gap between developers who use AI tools and engineers who build production AI systems is widening — and so is the difference in opportunity.
RAG
↑ High Demand
Agentic AI
↑ Fastest Growing
MCP
↑ Emerging Standard
AI Automation
↑ Enterprise Ready
AI Deployment
↑ Critical Skill
Enterprise AI
↑ Accelerating
Prompt Engineering vs AI Engineering
| Prompt Engineering | AI Engineering ← this course |
|---|---|
| Write better prompts | Design full AI system architectures |
| Use existing AI products | Build and deploy your own AI products |
| Single-turn interactions | Multi-step agentic workflows |
| ChatGPT / Copilot interface | LangGraph, RAG pipelines, MCP servers |
| No deployment required | FastAPI, Docker, cloud deployment |
| Commodity skill — 2023 era | Engineering skill — 2025–2026 demand |
Your Instructor
Learn from a Practitioner Who Builds Production AI
Pankaj Rana
Founder & Lead Instructor
AI practitioner and corporate training specialist with over a decade building and shipping production software and AI systems. Has personally trained more than 1,500 professionals across engineering, banking, IT services, and manufacturing — from junior developers to CTOs.
Why Developers Get Stuck at the AI Surface Level
Using ChatGPT every day is not the same as being an AI engineer. Here is where most developers hit a wall.
I use ChatGPT but cannot build AI applications
Prompting and engineering are different disciplines. This programme closes that gap with real system-building from day one.
I know Python but not RAG pipelines
Connecting Python to vector databases, embeddings and retrieval systems is a specific skill set we cover from the ground up.
Too many frameworks — I don't know where to start
LangChain, LangGraph, CrewAI, MCP... we cut through the noise and focus on what actually matters in production.
I can prototype but cannot deploy production AI
Moving from Jupyter notebook to a live API is a completely different challenge. Module 6 focuses entirely on production deployment.
I want AI skills that are useful at work today
Every module is built around use cases that engineering teams are already implementing in real organisations.
I need portfolio projects, not just certifications
Five production-grade projects, all deployed, all on GitHub. The kind of evidence a hiring manager or CTO actually examines.
Not sure if this AI Engineering programme is right for you?
Book a free call. Our instructor will review your background and tell you honestly whether this programme matches your goals.
Programme Outcomes
What You Will Be Able To Build
After completing this programme, you will have the engineering skills to design, build and deploy these systems independently.
Enterprise RAG Systems
Knowledge bases that retrieve from internal documents, PDFs, databases and APIs in real time.
AI Agents
Autonomous agents that plan multi-step tasks, call tools, and execute workflows without human intervention.
MCP Integrations
AI assistants connected to external systems via Model Context Protocol — databases, SaaS tools, REST APIs.
AI APIs
Production-ready AI backends served via FastAPI, containerised with Docker, deployed on cloud infrastructure.
AI Automation Workflows
Multi-agent automation pipelines using LangGraph and CrewAI — research, writing, data processing, reporting.
Production AI Deployments
End-to-end deployments with monitoring, cost control, safety guardrails and CI/CD pipelines.
GitHub Portfolio
5 Production AI Projects You Ship During the Programme
Not tutorial copies. Not toy demos. Real architectures, real APIs, real deployments — all published to your GitHub portfolio.
RAG-Powered Knowledge Assistant
A production knowledge base that answers questions from your documents. PDF/CSV/web ingestion pipeline, semantic search, re-ranking, and REST API endpoint.
Multi-Agent Research & Analysis Workflow
An autonomous multi-agent pipeline that plans, researches external sources, synthesises findings, and produces structured reports — with human-in-the-loop checkpoints.
MCP-Connected AI Assistant
An AI assistant connected to live external data sources via Model Context Protocol — reads databases, calls APIs, accesses files, all through the MCP standard.
Customer Support AI with Guardrails
A production-grade support agent with conversation memory, content safety filtering, response quality checks, and latency-optimised architecture.
Deployed AI API — FastAPI + Docker + Cloud
A complete production deployment: containerised AI API, cloud infrastructure, CI/CD pipeline, health checks, cost monitoring, and performance logging.
8 Modules
AI Engineering Curriculum: RAG, LangChain, Agentic AI, MCP and Deployment
From LLM fundamentals to production AI deployment — structured for working professionals.
- GPT-4, Claude and Gemini API integration
- Prompt engineering patterns and structured outputs
- Token management and context window optimisation
- Programmatic LLM response evaluation
This Programme vs Random YouTube Learning
Free tutorials teach you syntax. This programme teaches you how to ship.
| Feature | YouTube / Udemy | This Programme |
|---|---|---|
| Structured, sequenced curriculum | ||
| Live instructor — ask questions | ||
| Code review on your projects | ||
| Production deployment covered | ||
| Real portfolio projects on GitHub | ||
| MCP and Agentic AI in depth | ||
| Career guidance and strategy call | ||
| Corporate team enrolment available | ||
| Watch at 1.5× speed and forget |
For Teams & Organisations
Corporate AI Engineering Training
We deliver structured AI Engineering programmes for engineering teams, product teams, innovation labs and technical leadership — helping organisations build internal AI engineering capability at scale.
Engineering Teams
Backend, full-stack, DevOps
Product Teams
PMs, product engineers
Innovation Labs
R&D and AI centres
Tech Leadership
CTOs, VPs, principals
Custom cohort scheduling
Weekday, weekend, or intensive formats to match your team's calendar.
Team-size pricing
Group pricing for 5, 10, or 20+ participants. GST-compliant invoicing.
Tailored curriculum focus
We prioritise the modules most relevant to your tech stack and use cases.
L&D documentation provided
Full documentation for corporate reimbursement and training records.
Career Paths After AI Engineering Training
Developers and data professionals who complete this programme move into roles that require hands-on AI system-building skills.
AI Engineer
₹10–25 LPA
Generative AI Developer
₹12–28 LPA
LLM Application Developer
₹10–22 LPA
RAG Engineer
₹12–28 LPA
AI Automation Engineer
₹8–18 LPA
AI Technical Consultant
₹15–35 LPA
Salary ranges are indicative based on publicly available job postings in India. Actual compensation varies by employer, prior experience, location, and role. Career outcomes depend on prior experience, project work, interview preparation, and market conditions. Technovids does not guarantee specific job placements or salary outcomes.
Live Online AI Engineering Training with Mentorship
Not a video course. Not self-paced watching. Live instruction, direct project feedback, and a cohort you learn alongside.
Live Online Sessions
Weekend sessions via Zoom / Google Meet — with direct Q&A and real-time code walkthroughs.
Session Recordings
Every session is recorded and available within 24 hours for replay and revision.
Project Assignments
Hands-on project work between sessions — building real systems, not completing quizzes.
Code & Project Review
Your actual project code is reviewed by the instructor. Specific, actionable feedback.
WhatsApp Support Group
Dedicated cohort group for questions, peer discussion and async support between sessions.
Certificate on Completion
Verifiable certificate from Technovids Consulting Pvt. Ltd., shareable on LinkedIn.
Free Resource
Get the 2026 AI Engineering Career Roadmap
A practical PDF covering the tools, frameworks, learning path and career progression for AI engineers in India in 2026.
Send me the 2026 Roadmap
Delivered to your inbox. Free.
Frequently Asked Questions
More questions? WhatsApp us directly.
Free · No Commitment · No Payment Required
Ready to Move from
AI User to AI Engineer?
Book a free AI Career Strategy Call. Our instructor will review your background, discuss your goals, and help you decide if this is the right next step.
Or call +91 86183 46384Technovids Consulting Pvt. Ltd. · HSR Layout, Bengaluru · corporate@technovids.com