AI Developer Course

3 Months Featured Specialization

Build RAG apps, AI agents, and deployable AI products.

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Program fee

₹40,000

One-time payment

One-time payment for 3 months live ILT with capstone and certificate.

Payment options

  • No hidden charges. Batch timings confirmed on call.

What Is an AI Developer Course?

An AI Developer Course trains software engineers to build AI features inside real applications: RAG search, tool-using agents, model API integrations, and deployed AI workflows. At AI Career Academy, the path moves from Python and APIs to production-ready AI apps without requiring a machine-learning background.

Who Is This AI Developer Course For?

Built for backend, frontend, and full-stack engineers who want to add AI product work to their existing software skills.

Backend Developers

Add AI features and RAG-backed APIs to the services you already build.

Full-Stack Developers

Connect UI, APIs, models, and workflows into one complete AI product.

Frontend Engineers

Build AI-native UX — chat, streaming, and grounded, user-facing features.

Engineers Moving into AI

Already ship software? Add RAG, agents, and deployment to your toolkit.

AI Developer Projects You’ll Build

Build portfolio-ready AI features across search, documents, evaluation, agents, and deployment — the kind of work employers expect from an AI application developer.

RAG-Based AI Application

A retrieval-backed AI feature built like a practical software product workflow Retrieval-backed responses with grounding Structured UX flow with predictable outputs Practical integration mindset for real applications UI API Retrieve Generate Respond View details

Document Intelligence Workflow with Tool Use

Work with PDFs, web content, retrieval, and controlled tool-connected outputs Document understanding with retrieval support Tool-connected steps with bounded behavior Structured outputs instead of messy responses Ingest Retrieve Use Tools Answer Audit View details

RAG Pipeline with Evaluation and Tracking

A measurable RAG system focused on retrieval quality, grounded outputs, and improvement loops Retrieval flow with evaluation mindset Reranking and response-quality awareness Tracking runs for comparison and iteration Query Retrieve Rerank Generate Evaluate View details

AI Agent Workflow for Real Tasks

A controlled multi-step AI workflow with planning, execution, checks, and traceable behavior Multi-step logic with clearer control Checks and constraints for safer outputs Traceable workflow behavior for debugging Plan Act Check Deliver View details

Full-Stack AI App with Deployment

Ship an end-to-end AI product — UI, API, retrieval or agents, and a live deployment End-to-end build from UI to deployed API Your choice: RAG product or multi-agent workflow Live deployment with tracing and basic CI/CD Build Evaluate Deploy Monitor View details

Tools, Frameworks, and Models You’ll Work With

A practical developer-first AI stack covering model APIs, retrieval workflows, agent frameworks, application building, and evaluation.

Model APIs

— The models you build on

Core Frameworks

— How you turn models into apps

RAG & Vector Databases

— Ground answers on your own data

Backend & MVP UI

— Ship a usable product fast

Deployment & Delivery

— Take it to production

Evaluation & Observability

— Keep it reliable after launch

AI Developer Course Syllabus

12 sections | 40 + modules | Projects hands-on | ILT mentor-led View full curriculum

Course Curriculum

Foundations for GenAI applications
Module 1: LLM APIs and SDKs
  • API and SDK Integration
  • Prompt patterns
  • Structured outputs
Module 2: App packaging
  • FastAPI services
  • Streamlit and Gradio UIs
  • Error handling and retries
RAG and agents
Module 3: RAG pipelines
  • Chunking and embeddings
  • Grounded retrieval
  • Evaluation of answers
Module 4: Agent workflows
  • Tool calling
  • Memory
  • Multi-step orchestration
Production
Module 5: Ship the capstone
  • Production Deployment
  • Tracing and docs
  • Portfolio review

Frequently asked questions

What Is an AI Developer Course?

An AI Developer Course trains software engineers to build AI features inside real applications: RAG search, tool-using agents, model API integrations, and deployed AI workflows. At AI Career Academy, the path moves from Python and APIs to production-ready AI apps without requiring a machine-learning background.

Who Is This AI Developer Course For?

Built for backend, frontend, and full-stack engineers who want to add AI product work to their existing software skills.

What Makes This AI Developer Course Different

Most AI tutorials hand you isolated notebooks and copy-paste snippets. This AI Developer Course takes you through the complete ecosystem — from basic Python all the way to a deployed, working AI solution — the way real engineering teams actually build and ship.

What Developers Say

Real outcomes from developers who upskilled and shipped AI-powered features — without the hype.

Still comparing adjacent AI paths?

Use these comparison pages to separate the AI Developer path from nearby roles and neighboring course directions.

Ready to start?

Talk to an advisor about this program — 15 minutes, no sales pitch.

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+91 87087 52385

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