Artificial Intelligence

Agentic AI

Build production-grade autonomous AI systems at enterprise scale. Master custom agent frameworks, multi-modal agents, advanced reasoning, autonomous code generation, governance, and large-scale agent deployment.

Level: AdvancedArtificial Intelligence

What You'll Learn

Custom agent frameworks & DSPy
Tree-of-thought & advanced reasoning
Autonomous code generation agents
Multi-modal agent pipelines (vision + text)
Agent fine-tuning with RLHF
Enterprise security & governance for agents
Agent evaluation frameworks & benchmarks
Large-scale deployment & cost management
Capstone: production autonomous system

What's Included

🧭AI TutorπŸ”’

Interactive learning path with AI-generated lessons read aloud by your personal tutor

πŸ§ͺPractice LabπŸ”’

Step-by-step lab instructions with AI guidance β€” run in your own IDE or sandbox.

πŸŽ™οΈMock InterviewsπŸ”’

AI interviewer asks tailored questions, gives real-time feedback and a score report

πŸ“EvaluationπŸ”’

MCQ questions (theory, practical, code) to test your knowledge and earn a badge

βš”οΈChallenge AIπŸ”’

Compete head-to-head against AI on real production problems β€” judged on correctness, performance, scalability, code quality, and edge cases

Course Syllabus

Module 1: Advanced Reasoning Architectures

  • β€’Tree-of-thought prompting
  • β€’Self-consistency sampling
  • β€’Reflexion & self-critique agents
  • β€’Chain-of-thought distillation
  • β€’Reasoning evaluation metrics

Module 2: Custom Agent Frameworks

  • β€’DSPy for agent programming
  • β€’Building custom agent runtimes
  • β€’Agent memory with knowledge graphs
  • β€’Tool chaining & meta-tools
  • β€’Framework benchmarking

Module 3: Multi-Modal & Code Agents

  • β€’Vision-language agent pipelines
  • β€’Autonomous code generation (SWE-agent)
  • β€’Sandboxed code execution
  • β€’Multi-modal tool use
  • β€’Debugging agentic codebases

Module 4: Fine-Tuning & Specialisation

  • β€’RLHF for agent behaviour
  • β€’Agent-specific fine-tuning datasets
  • β€’Reward modelling
  • β€’Constitutional AI for agents
  • β€’Evaluation-driven fine-tuning loops

Module 5: Enterprise Governance & Scale

  • β€’Agent audit trails & compliance
  • β€’Role-based agent access control
  • β€’Cost governance & budget agents
  • β€’Horizontal scaling of agent fleets
  • β€’Capstone: enterprise autonomous system

You're all set

Everything in this course is unlocked.

Continue Learning β†’
βœ“AI Tutor
βœ“Practice Lab
βœ“Mock Interviews
βœ“Evaluation
βœ“Challenge AI