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Artificial Intelligence Courses

AI Engineering with Prompt Engineering & Context Engineering

The advanced track for AI practitioners who want to build, optimise, and scale production-grade AI systems. Master the science of prompting and context for peak LLM performance.

10 WeeksDuration
1,800+Students
4.9 / 5Rating
AdvancedLevel

Original price: ₹29,999

Two Disciplines, One Mastery

This is the only course that teaches both Prompt Engineering and Context Engineering together — the two pillars of high-performance AI systems.

Prompt Engineering

  • Crafting optimal instructions for LLMs
  • Techniques: CoT, ToT, few-shot, role
  • Maximising output quality and consistency
  • Template design and dynamic prompting

Context Engineering

  • Managing what information LLMs receive
  • Context window optimisation strategies
  • RAG, summarisation & compression
  • Dynamic context selection and injection

Course Curriculum

4 advanced modules covering prompt design to production AI engineering

01

Advanced Prompt Engineering

  • Zero-shot, few-shot & chain-of-thought
  • Tree-of-thought & self-consistency
  • Role, persona & instruction prompting
  • Prompt templates & dynamic generation
02

Context Engineering

  • Context window management strategies
  • Chunking, summarisation & compression
  • Dynamic context injection & retrieval
  • Long-context LLM optimisation
03

AI Systems Architecture

  • Designing reliable AI pipelines
  • Evaluation & testing frameworks
  • Guardrails, safety & alignment
  • Observability & prompt monitoring
04

AI Engineering in Production

  • Cost optimisation & latency reduction
  • A/B testing prompts at scale
  • MLOps integration for LLM apps
  • Capstone: production AI system design

What You'll Be Able to Do

Design high-performance prompt systems for any LLM
Architect context-aware AI pipelines that scale
Reduce LLM costs by up to 60% through optimisation
Build evaluation frameworks for AI quality assurance
Lead AI engineering initiatives at enterprise level
Ship reliable, safe AI products to production

Prerequisites

  • Experience with Python & APIs
  • Familiarity with LLMs and GenAI concepts
  • Basic understanding of AI agents (recommended)

Ideal For

  • AI/ML engineers seeking advanced skills
  • Senior developers building AI products
  • AI architects and technical leads

On Completion

  • Industry-recognised AI Engineering certificate
  • Production-grade capstone project
  • Direct placement with AI companies

Become an AI Engineer

Join 1,800+ advanced AI practitioners who now design and ship world-class AI systems