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AI Application Engineering with Python

Learn the complete application stack around modern language models

Fee
₹6,000
Duration
40 guided hours
Mode
Online / Offline
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Designed for

  • Python developers who want the full AI application stack
  • Backend developers moving into AI application roles
  • Final-year and advanced learners with real Python behind them
New · Deesha AI

The AI line is open.

Course curriculum

10 progressive modules

Duration: 40 guided hours

  1. Foundation
  2. Intermediate
  3. Advanced

  1. FoundationSessions 1–3

    LLM foundations and model APIs

    • What a model call really is — tokens, context, cost
    • API patterns, streaming and error handling
    • Model selection as an engineering trade-off

    What you will build

    Three models compared on the same task with latency, cost and quality on one table — selection made an argument, not a vibe.

    Module 1

Batches

Choose a schedule that works for you

Registration open

September 2026 weekday evening batch

Mon, 7 Sept, 2026, 7:00 pm

Schedule
Mon–Fri, 7:00–9:00 PM IST
Delivery
Online
Trainer
Shrenik Shah
Fee
₹6,000
Capacity
16 participants
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We plan batches around demand. Weekend, morning and intensive formats open when enough people ask for them.

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Who teaches this

Learn with experienced practitioners

All trainers and mentors

Each batch is assigned its own trainer from this group, named before you enrol.

  • Vishal Shah

    Vishal Shah

    Founder & Principal Trainer

    Two decades building and teaching commerce, banking and cloud platforms — still writing code

    • Java & Spring Boot microservices
    • TypeScript, React, Angular & Next.js
    • Composable commerce (commercetools)
    Full profile →
  • Shrenik Shah

    Shrenik Shah

    Principal Trainer

    Cloud and AI architect who has upskilled over 5,000 engineers in Java, React, Python and cloud

    • Python — Django, Flask, GenAI & agentic workflows
    • Java & Spring Boot
    • React & Angular, micro-frontend architecture
    Full profile →

Detailed course information

Full course brief

This is the broad foundation: the complete application stack around modern language models, taught in the order the pieces actually depend on each other — model APIs before prompting, retrieval before memory, workflows before agents, evaluation before deployment.

Who this is for

Working Python — the depth taught in Python Programming — plus API and basic backend experience. No AI background assumed.

Where it leads

The Python branch of the AI Application Engineer pathway, and the prerequisite base for the RAG and Agentic deep dives as they open.

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