Don’t just use AI. Engineer it.
Become an AI Engineer in 80 live sessions — Python + Machine Learning + Generative AI + Agentic AI, taught live on Zoom. Concept first, then built live, then you build it yourself in the hands-on lab. We are collecting interest for the next batch — tell us the days and times that suit you.
- 80live sessions · 1 hour each
- 12phases · Python to agentic AI
- 8+projects + final capstone
- Liveon Zoom · every session recorded
How it works now
Register interest — we’ll contact you about suitable batch options.Tell us the days and times that suit you. An enquiry does not register you on Zoom, reserve a seat or confirm a batch.- Live & hands-on, not recorded lectures
- 8 milestone projects + final capstone
- Revision recordings · 1 year from full fee payment
- Mock interviews, resume & interview prep
- Certification guidance
Register your interest
Next batch date to be confirmed. Tell us how to reach you and we’ll contact you about suitable batch options.
This form saves your interest. It does not register you on Zoom, reserve a paid seat or confirm a batch.
- 80live sessions · 1 hour each
- 12phases in one sequenced path
- 8+1projects and a final capstone
- 1 yearrevision recordings from full fee payment
- 2-dayrefund window after paid classes start
Not another “build one chatbot” course. An engineering progression.
Most people piece AI together from disconnected tutorials. This program is one sequenced 80-session journey: each layer is built, validated with a project, and reused by the next — from the first line of Python to a deployed, evaluated, multi-component AI system.
Live and hands-on, every session
Each one-hour session runs live on Zoom: 10 min concept, 15 min live demonstration, 25 min hands-on lab, then troubleshooting and a challenge to extend the session’s build.
One skill stack, in the right order
Python → SQL → APIs → ML → FastAPI → LLMs → RAG → agents → MCP → evaluation → LLMOps. Every phase produces a component the next phase depends on.
8 milestone projects + capstone
Every major phase closes with a working project you build, break, debug and improve — ending with an enterprise AI agent that integrates every layer.
Revision recordings
Every live session is recorded. Paid students get the recordings of their batch for revision at no extra charge, for one year from the date their fee is paid in full. Module-wise FAQs and soft-copy learning materials are shared with the batch.
Mock interviews & resume guidance
Regular technical mock interviews, resume guidance and interview preparation. Placement referral is a separate, optional registration — no job guarantee.
Certification guidance
Guidance on relevant certifications, plus a JavitaTech Certificate of Completion backed by a documented skill progression and a capstone you can explain.
What you will learn, phase by phase
Twelve phases with a clear engineering purpose each, moving from Python fundamentals to a production-oriented capstone. Every session has a topic, a hands-on lab and a specific outcome.
- Phase 01 · Sessions 1–15
Python for AI Engineering
Programming foundation — every later phase depends on this one.
- Phase 02 · Sessions 16–21
SQL & Data Engineering Fundamentals
Structured data access, required before data-heavy ML work.
- Phase 03 · Sessions 22–27
Git, GitHub & API Engineering
Collaboration and integration skills, required before backend and AI system work.
- Phase 04 · Sessions 28–38
Machine Learning Fundamentals
Predictive modeling — the foundation AI engineering builds on before generative AI.
- Phase 05 · Sessions 39–43
FastAPI & AI Application Backends
The serving layer used to expose ML and, later, LLM-based systems.
- Phase 06 · Sessions 44–52
Generative AI & LLM Engineering
Language intelligence — LLM architecture, APIs and prompt engineering.
- Phase 07 · Sessions 53–62
Embeddings, RAG & LangChain
Knowledge retrieval — grounding LLM responses in real data.
- Phase 08 · Sessions 63–71
Agentic AI & LangGraph
Autonomous reasoning — agents that plan, call tools and act.
- Phase 09 · Sessions 72–74
Model Context Protocol (MCP)
Standardized integration between agents and external systems.
- Phase 10 · Sessions 75–77
AI Evaluation
Quality assurance for LLM, RAG and agent outputs.
- Phase 11 · Sessions 78–79
LLMOps & Production AI
Operating AI systems responsibly: logging, monitoring, deployment.
- Phase 12 · Sessions 80
Final Capstone
Integration demonstration across every layer of the skill stack.
Projects you will build yourself
- Project 1 · Day 14 — Python / API application that pulls, processes and outputs live data
- Project 2 · Day 21 — SQL + Python data application over a relational database
- Project 3 · Day 38 — Machine learning prediction system: raw data to a saved, reusable model
- Project 4 · Day 43 — FastAPI ML service: your model served as a prediction endpoint
- Project 5 · Day 52 — LLM application with prompting, structured output and an API layer
- Project 6 · Day 62 — RAG knowledge assistant answering questions over your own documents
- Project 7 · Day 71 — Agentic AI workflow with tools, memory and conditional routing (LangGraph)
- Project 8 · Day 74 — MCP integration: an agent connected to a custom MCP server
- Capstone · Day 80 — Enterprise AI Knowledge & Task Automation Agent, evaluated and observable
- All 80 sessions, day by day, with the topics covered
- The practical lab activity and learning outcome of each session
- The 8 projects, the capstone architecture, tooling and FAQ
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Concept first, then built live — then you build it yourself
Your mentor
The mentor for the next batch is confirmed together with the batch dates.
- The course follows the way AI systems are built in practice: problem → data → code → model → API → RAG and agents → evaluation and production
- Real-time use cases for every topic, and a hands-on lab in every single session
- Assignments are reviewed and doubts are cleared in class
- Regular technical mock interviews, with guidance on resume, interviews and certification
This is not a lecture series. Each 60-minute session is structured for implementation, not passive viewing — so that by Day 80 you have built, debugged and explained a working multi-component AI system, and can talk about it in an interview.
- 01Concept first, then built liveEvery topic starts with the “why”, then the mentor builds it live, then you build it yourself in the lab — in every session.
- 02One project per phaseLearn → build → break → debug → improve. Each project proves a layer of the skill stack before the next layer is added.
- 03Interview preparation built inMock interviews, resume guidance, interview preparation, certification guidance. Placement referral is a separate, optional registration — no job guarantee.
The fee is confirmed with the batch
We are collecting interest for the next batch. The fee and payment options are confirmed together with the batch dates and shared with you before you decide. Registering interest is free.
Fee to be confirmed
Collecting interest — next batch date to be confirmed.- Registering interest is free — no payment is taken on this page
- We share the fee and payment options with the batch details before you decide
- GST included · no hidden charges
An enquiry does not reserve a seat or confirm a batch.
Everything included in the fee
- 80 live sessions on Zoom, one hour each
- 8 milestone projects + the final capstone
- Recording of every session · 1 year from full fee payment
- Module-wise FAQs and soft-copy learning materials
- Regular technical mock interviews
- Resume guidance and interview preparation
- Certification guidance
- JavitaTech Certificate of Completion
Refund policy, in short
After enrollment, 15% of the total fee is non-refundable if you withdraw. Withdraw before paid classes begin and the rest is refunded. Once paid classes begin, refund requests are accepted within 2 days of your first paid session and processed within 15 business days. If JavitaTech cancels a batch, all fees paid are refunded in full, including the 15%. Read the full Cancellation & Refund Policy.
Collecting interest — next batch date to be confirmed.
Tell us the days and times that suit you. When a batch is being planned, we contact the people who registered interest with the dates, timing, mentor and fee — and you decide then. Every session is recorded.
- Start dateTo be confirmedWe are collecting interest for the next batch
- Days and timingTo be confirmedTell us your preferred days and time ranges when you register interest
- Course length80 sessions · 80 hoursLive on Zoom · one hour per session
- Register interestFill the short form — about 30 seconds. No payment.
- Add your scheduleOptionally tell us your preferred days, times and start window.
- We contact youWith suitable batch options, on WhatsApp, phone or email.
- Batch confirmedYou get the dates, timing, mentor and fee in a separate confirmation.
- Build 8 projects + capstone80 sessions, mock interviews, certificate and career support.
Beginner or experienced — both get value
- Freshers and engineering graduatesA structured, project-based path into AI engineering roles. Python is taught from Day 1.
- Python and software developersExtend your coding and backend skills into ML, LLMs, RAG and agents.
- Data professionals and ML aspirantsMove from analysis and notebooks to applied ML and AI application building.
- Backend and automation engineersServe ML/LLM models behind APIs and build agentic, tool-calling systems for automation.
Questions learners ask
Is this suitable for complete beginners?
Yes. The program starts with Python fundamentals on Day 1 and builds up one layer at a time. Anyone comfortable with logical thinking can start with no prior AI experience — Days 1–15 build Python from the ground up before any AI topic appears.
When does the next batch start?
We are collecting interest — the next batch date is to be confirmed. Register your interest on this page and tell us the days and times that suit you; we will contact you about suitable batch options. Registering interest does not reserve a seat or confirm a batch, and a demo registration is confirmed only when you receive a separate confirmation for that session.
What exactly will I build?
Eight milestone projects and a final capstone: a Python/API app, a SQL + Python data app, an ML prediction system, a FastAPI ML service, an LLM application, a RAG knowledge assistant, an agentic workflow with LangGraph, an MCP integration, and the Enterprise AI Knowledge & Task Automation Agent capstone on Day 80.
Is machine learning included, or is it only Generative AI?
Both. Phase 4 (sessions 28–38) covers the ML workflow — regression, classification, decision trees, ensembles, unsupervised learning, evaluation and feature engineering — before the Generative AI, RAG, agent and MCP phases.
What are the timings and duration?
80 live sessions of one hour each, on Zoom. The days, timing and start date of the next batch are to be confirmed — tell us your preferred schedule when you register interest. Every session is recorded. Paid students get the recordings of their batch for revision at no extra charge, for one year from the date their fee is paid in full.
What is the fee and how do I pay?
The fee and payment options for the next batch are confirmed together with the batch dates and shared with you before you decide. Registering interest is free, and no payment is taken on this page.
What is the refund policy?
After enrollment, 15% of the total fee is non-refundable if you withdraw. If you withdraw before paid classes begin, the rest is refunded. Once paid classes begin, refund requests are accepted within 2 days of your first paid session and approved refunds are processed within 15 business days. If JavitaTech cancels a batch, all fees paid are refunded in full, including the 15%. Full policy: Cancellation & Refund Policy.
Which tools and frameworks are used?
Python, SQL, Pandas, NumPy, Git and GitHub, REST APIs, Scikit-learn, FastAPI, LLM APIs, prompt engineering, embeddings and vector databases, LangChain, LangGraph, the Model Context Protocol (MCP), and evaluation, logging and monitoring practices — widely adopted, general-purpose tools rather than one proprietary provider.
Do you provide placement support?
You get regular technical mock interviews, resume guidance, interview preparation, certification guidance and a JavitaTech Certificate of Completion. Placement referral is a separate, optional registration — no job guarantee. We prepare you for interviews; we do not promise a job.
I am outside India. Can I join?
Yes. Everything is live online on Zoom in IST, and every session is recorded, so you can attend live, and paid students can also watch the recordings in their own time zone. Academic questions are answered live in the sessions.
Tell us you’re interested in the next batch.
Collecting interest — next batch date to be confirmed. Register your interest with the days and times that suit you, and we’ll contact you about suitable batch options.
- No payment to register interest
- 8 milestone projects + the final capstone
- Revision recordings and materials
- Mock interviews, resume and interview preparation
Register your interest
Next batch date to be confirmed. We’ll contact you about suitable batch options.
This form saves your interest. It does not register you on Zoom, reserve a paid seat or confirm a batch.