AGS AI Academy — AI training academy in Puducherry
Flagship · 6 Months

Professional AI Engineer — the complete path to hireable.

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

Program 02

What makes this program different.

The complete journey: Python foundations through to deployed, agentic AI systems.
Industry-driven curriculum built with hiring managers — LangChain, RAG, agents, MCP.
Ship 10+ deployed AI products, not toy notebooks.
A guaranteed, structured internship on real client projects at AgileSoftLabs.
Weekly code reviews and 1:1 mentorship from working AI engineers.
Placement assistance — portfolio reviews, mock interviews and referrals — until you're hired.
A production-grade GitHub portfolio recruiters actually read.
Small batches (max 50) and in-person delivery in Puducherry.
Learning hours

What your learning hours look like.

Every AGS AI Academy program is intensive and hands-on. You get up to 80 hours of guided learning a month — and most of it is spent building, not watching.

Up to 80 hours of learning per month24 Weeks

Live mentor-led sessions

Taught in person by working AI engineers — never recorded lectures.

Guided hands-on labs

Build alongside your mentor, applying each concept the moment you learn it.

Project work

Ship a real, portfolio-worthy project on a weekly cadence.

1:1 mentoring & reviews

Code reviews, feedback and career guidance from your mentor.

Roughly 40% mentor-led sessions, 60% hands-on building.

Overview

The program.

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.

Who this is for.

Engineering students

CSE, IT, ECE and beyond — graduate with a deployed AI portfolio and an internship already done.

Fresh graduates

Convert your degree into a real, hireable AI engineering skill set with placement support.

Working professionals

Transition into AI engineering from software, data, testing or IT-support roles.

Serious career switchers

Ready to commit six months to becoming a production AI engineer — we'll take you there.

Curriculum

Module-by-module syllabus.

9 modules, taught by building. Every module ends with a real project you can put on your GitHub.

01Weeks 1–3

Python & Engineering Foundations

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

  • Python deep-dive & best practices
  • Data structures & algorithms basics
  • Git, GitHub & collaboration
  • Working with REST APIs & JSON
  • Virtual environments & packaging
  • Project: a Python API client
02Weeks 4–7

Data & Machine Learning

Master the data and classical-ML core: cleaning, EDA, and building, tuning and evaluating supervised and unsupervised models.

What you'll cover

  • NumPy, Pandas & data wrangling
  • EDA & feature engineering
  • Regression & classification
  • Clustering & dimensionality reduction
  • Model evaluation & tuning
  • Project: an end-to-end ML model
03Weeks 8–10

Deep Learning & Neural Networks

Go beyond classic ML into the neural networks behind modern AI — built hands-on with PyTorch and TensorFlow.

What you'll cover

  • Neural network fundamentals
  • Training, loss & optimisation
  • CNNs for vision tasks
  • RNNs & sequence models
  • Transformers & attention
  • Project: a deep-learning app
04Weeks 11–12

LLMs & Prompt Engineering

Understand large language models from the inside and learn to drive them precisely with advanced prompting and structured outputs.

What you'll cover

  • How LLMs work & tokenisation
  • OpenAI, Claude & Gemini APIs
  • Advanced prompting techniques
  • Structured & function-calling output
  • Evaluating LLM responses
  • Project: an LLM-powered tool
05Weeks 13–15

LangChain & Vector Databases

Orchestrate LLMs into real applications with LangChain, and give them memory and search using vector databases.

What you'll cover

  • LangChain chains & components
  • Embeddings & semantic search
  • Pinecone, Chroma & pgvector
  • Memory & conversation state
  • Document loaders & splitters
  • Project: a semantic search app
06Weeks 16–17

RAG Pipelines

Build retrieval-augmented generation systems that answer from your own data with grounded, source-cited responses.

What you'll cover

  • RAG architecture end to end
  • Chunking & retrieval strategies
  • Grounding & citation
  • Reducing hallucinations
  • Evaluating RAG quality
  • Project: a RAG chatbot over docs
07Weeks 18–20

AI Agents & MCP Servers

Design autonomous, tool-using AI agents and expose capabilities through MCP servers — the cutting edge of applied AI.

What you'll cover

  • Agent architectures & tool use
  • LangGraph & multi-agent systems
  • Building MCP servers
  • Planning, memory & reflection
  • Guardrails & reliability
  • Project: a multi-tool AI agent
08Weeks 21–22

AI Deployment & MLOps

Ship your work to production — package, serve, monitor and scale AI applications the way real teams do.

What you'll cover

  • FastAPI services for AI
  • Docker & containerisation
  • Cloud deployment basics
  • Monitoring & cost control
  • CI/CD for AI apps
  • Project: a deployed AI service
09Weeks 23–24+

Internship & Capstone

Join real client projects at AgileSoftLabs as a working intern, ship a flagship capstone, and prepare for placement.

What you'll cover

  • Live client project work
  • Standups, deadlines & code review
  • Flagship capstone build
  • Portfolio & case-study polish
  • Mock interviews & referrals
  • Internship certificate & references

Get the full syllabus PDF.

Module-by-module curriculum, learning hours and outcomes for Professional AI Engineer Course — free, instant download.

No spam — your number goes only to our admissions team.

Tools & Tech

The stack you'll actually ship with.

Foundation Models

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiLlama 3Mistral

Orchestration & Agents

LangChainLangGraphLlamaIndexCrewAIMCP Servers

Vector & Memory

PineconeChromapgvectorQdrantWeaviate

ML & Deep Learning

scikit-learnPyTorchTensorFlowHugging Face

Deployment & Infra

FastAPIDockerKubernetesAWSSupabase

Frontend & Workflow

Next.jsGit & GitHubStreamlitPostman
Outcomes

What you graduate with.

  • 10+ deployed AI products live on your GitHub portfolio.
  • End-to-end command of the modern GenAI stack — RAG, agents, MCP, deployment.
  • A completed, structured internship on real client projects.
  • An internship certificate, references and letter of recommendation.
  • Placement support — mock interviews, referrals and introductions — until you're hired.
Careers

Roles this opens up.

AI EngineerMachine Learning EngineerGenAI EngineerLLM Application DeveloperAI Automation EngineerData ScientistAI Backend DeveloperMLOps Engineer

Industries hiring

TechnologyFintechHealthcareE-commerceSaaSConsultingBankingStartups
Student Reviews

What our students say.

A great learning experience. The mentors are very supportive and guide interns in a friendly way. I'm learning new technologies including Artificial Intelligence and real-time development skills, which is building my technical knowledge and confidence for my IT career.

Yuvasri G

AGS AI Academy · AI & Real-Time Development

Great exposure to modern technologies, especially Artificial Intelligence and real-time applications. The mentors guide you step by step, which makes it easy for beginners. I worked on practical projects and improved my AI and development skills in a friendly, motivating environment. Highly recommended for students building a career in AI.

Siva Ranjani

AGS AI Academy · AI & Software Development

Excellent place for an IT internship — hands-on project exposure, strong mentorship, and a flexible yet professional environment. I learned far more than I expected, and the team truly values intern growth. Highly recommended for anyone starting out in tech.

K. Ramachandran

AGS AI Academy · Mentorship & Project Exposure

Read all student reviews →

FAQs

Professional AI Engineer — your questions.

Will this course actually make me job-ready as an AI engineer?

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.

Do I need a strong coding or maths background?

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.

Is the internship really guaranteed?

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.

What does the placement support include?

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.

Is the course online or in-person?

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.

How do I get the fee and EMI details?

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.

Admissions Open · Next Batch

Become a hireable AI engineer in 6 months.

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