Our flagship 24-week program takes you from fundamentals to production AI engineer. Go deep on machine learning, deep learning, LangChain, vector databases, RAG, AI agents and MCP servers — then deploy everything you build for real clients during a guaranteed internship, with placement support until you're hired.
24 Weeks
Duration
Guaranteed
Internship
10+ Shipped
Projects
Supported
Placement
The Professional AI Engineer track is the program for people who don't just want to understand AI — they want to be hired to build it. Over 24 weeks you cover the full stack of a modern AI engineer: from Python and machine learning through deep learning, and then deep into the GenAI engineering stack that companies actually ship with in 2026.
This is a build-first program. You'll construct RAG pipelines over real documents, design multi-step AI agents that use tools, stand up vector databases, build MCP servers, and deploy it all behind real APIs. Every module ends in a working, deployed project — so by graduation you have 10+ products live and on your GitHub.
The second half routes you into a structured internship on genuine client work at AgileSoftLabs, our parent AI software agency. You'll work to real deadlines with standups and code review, exactly as a junior AI engineer would. Then our placement cell takes over — portfolio reviews, mock interviews and direct referrals — and stays with you until you sign an offer. Past students have gone on to companies including Qualcomm and Capgemini.
Eligibility
Open to anyone 17+. Basic programming familiarity helps but isn't mandatory — the program ramps from Python fundamentals. A short aptitude conversation confirms you're ready for the pace.
CSE, IT, ECE and beyond — graduate with a deployed AI portfolio and an internship already done.
Convert your degree into a real, hireable AI engineering skill set with placement support.
Transition into AI engineering from software, data, testing or IT-support roles.
Ready to commit six months to becoming a production AI engineer — we'll take you there.
9 modules, taught by building. Every module ends with a real project you can put on your GitHub.
Build a rock-solid Python base and the software-engineering habits — version control, clean code, APIs — that every AI engineer needs.
What you'll cover
Master the data and classical-ML core: cleaning, EDA, and building, tuning and evaluating supervised and unsupervised models.
What you'll cover
Go beyond classic ML into the neural networks behind modern AI — built hands-on with PyTorch and TensorFlow.
What you'll cover
Understand large language models from the inside and learn to drive them precisely with advanced prompting and structured outputs.
What you'll cover
Orchestrate LLMs into real applications with LangChain, and give them memory and search using vector databases.
What you'll cover
Build retrieval-augmented generation systems that answer from your own data with grounded, source-cited responses.
What you'll cover
Design autonomous, tool-using AI agents and expose capabilities through MCP servers — the cutting edge of applied AI.
What you'll cover
Ship your work to production — package, serve, monitor and scale AI applications the way real teams do.
What you'll cover
Join real client projects at AgileSoftLabs as a working intern, ship a flagship capstone, and prepare for placement.
What you'll cover
Industries hiring
“A truly enriching experience. I got to work on real-time projects that let me apply my knowledge and gain valuable hands-on skills. The team was incredibly supportive — everyone was approachable and always ready to help.”
Kaviraj
AGS AI Academy · Real-Time Projects
“An incredibly rewarding internship. The team was supportive and knowledgeable, guiding me on real-world projects. I gained practical experience with industry tools and technologies in a collaborative environment that sharpened both my technical and soft skills.”
Kesaba Barik
AGS AI Academy · Industry Tools & Tech
“I learned various AI technologies and gained practical knowledge by working on real-time projects. The mentors gave clear guidance whenever needed, improving my skills in AI, web development and project implementation. A professional, friendly and encouraging place to grow.”
Murugadoss
AGS AI Academy · AI & Web Development
Yes — that's its single goal. Over 24 weeks you ship 10+ deployed AI products, complete a guaranteed internship on real client work, and receive placement support until you're hired. You graduate with a portfolio that proves you can build, not just a certificate.
Basic programming familiarity helps, but the program ramps from Python fundamentals, so motivated beginners succeed too. We focus on applied, build-first learning rather than heavy theoretical maths. A short aptitude conversation confirms you're ready for the pace.
Yes. Every Professional AI Engineer student enters a structured internship on real projects at AgileSoftLabs, our parent AI software agency — with deadlines, standups and code review, plus an internship certificate and references.
Portfolio and resume reviews, mock interviews, direct referrals and introductions to companies hiring AI engineers across India. We support you until you sign an offer. Past students have joined companies including Qualcomm and Capgemini.
It runs in-person at our campus on 100 Feet Road, Mudaliarpet, Puducherry — building together with mentors is faster. Select sessions can run hybrid where it makes sense.
We share full fees, no-cost EMI options and any current scholarships on your free counselling call. Apply or request a call and we'll walk you through everything.
Visit us at First Floor, 208, 100 Feet Road, Mudaliarpet, Puducherry, 605004, India or book a free counselling call.
Ship 10+ AI products, complete a guaranteed internship, and get placement support until you're hired. Apply now or book a free counselling call.
Free counselling · Guaranteed internship · Placement support
