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LIVE TRAINING · MENTOR-LED PROJECTS

AI Engineering Course in India

AI Applied Engineering for working professionals: build production AI features with LLM APIs, RAG, agent workflows and evaluation.

45 live hoursLive online
AI APPLICATION LABIllustrative workflow
01020304
Start with a user question and a clear success criterion.
Explore each step

EXAMPLE PROJECT BRIEF

A grounded answer with an evaluation report

Use this example to discuss the project scope for AI Applied Engineering with your mentor.

What to demonstrate: Explain the source of each answer, test an unsupported question, and report latency and cost.

What will you learn in AI Applied Engineering?

This course is for engineers who want to add AI capability to their existing products. You will build features that call LLMs safely, evaluate their output, and integrate into normal software workflows.

What you will learn

  • LLM API integration and prompt management
  • Retrieval-augmented generation
  • Tool use and lightweight agents
  • Evaluation and observability
  • Cost, latency and safety trade-offs
  • Shipping an AI feature end to end

✓ Job-Ready Track

This course is part of our job-ready track. It opens roles such as AI Engineer, LLM Application Developer, GenAI Engineer. Placement assistance and weekly interview preparation are included.

Tools & technologies

🤖OpenAI / Anthropic🔍Pinecone🧩LangChain🐍Python⚡FastAPI🐳Docker📊LangSmith📈Weights & Biases

Syllabus

  • APIs, tokens and context windows
  • Prompt engineering for reliability
  • Structured outputs and parsing
  • Caching and cost control
  • Embeddings and chunking strategies
  • Vector databases
  • Retrieval evaluation
  • Building a document Q&A feature
  • Function calling
  • Multi-step reasoning
  • Error handling and retries
  • Building a research assistant
  • Golden datasets and metrics
  • Human-in-the-loop evaluation
  • Guardrails and moderation
  • Observability patterns
  • API design for AI features
  • Async processing
  • Container deployment
  • Monitoring and alerting
  • Feature scoping
  • Build week
  • Demo and review
  • Production checklist
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Join with friends and save on fees.

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Join with friends and save on fees.

Bring four friends or colleagues and ask about BAIC’s reduced fee for a group of five learners.

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Have questions about this programme?

Book a free introductory call. We will discuss your background, the syllabus and whether this is the right starting point.

Request a Callback

AI Applied Engineering course questions

What is the AI Applied Engineering course fee?

The AI Applied Engineering course fee is ₹34,999, including applicable taxes. Ask a course advisor for payment details and the next batch dates.

How long is the AI Applied Engineering course?

The course includes 45 live hours, plus hands-on exercises. Confirm the weekly timetable with your course advisor.

What will I learn in AI Applied Engineering?

This course is for engineers who want to add AI capability to their existing products. You will build features that call LLMs safely, evaluate their output, and integrate into normal software workflows.

Your lead mentor

Gaurav S — Lead FDE, working with multinational clients (15 years of IT experience; previously at HCL, Accenture, HP and Wipro)

Ask about project feedback, the teaching approach and the support available for your course.

View Gaurav’s profile →