Artificial Intelligence

The Agent Loop: Planning & Self-Correction

Unlike simple chatbots, Agentic AI can think about its mistakes. Implement a Python-based agent loop where an LLM creates a plan, executes a step, checks the result, and pivots if the outcome is wrong.

Level: IntermediateArtificial Intelligence

What You'll Learn

The Perceive → Plan → Act → Reflect loop
Plan generation with structured LLM output
Step execution and result observation
Self-correction: detecting wrong outcomes
Pivoting strategies when a step fails
Building a Python agent loop from scratch
Tracing and debugging agent decisions

What's Included

🧭AI Tutor🔒

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

🧪Practice Lab🔒

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

🎙️Mock Interviews🔒

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

📝Evaluation🔒

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

⚔️Challenge AI🔒

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

Course Syllabus

Module 1: The Agent Loop Explained

  • •Chatbot vs agent: why planning changes everything
  • •The Perceive → Plan → Act → Reflect cycle
  • •Structured output for plan generation (JSON mode)
  • •Step-by-step vs parallel execution strategies
  • •When to stop: success conditions and max iterations

Module 2: Execution & Observation

  • •Executing a plan step with tool calls
  • •Capturing and parsing the execution result
  • •Comparing expected vs actual outcome
  • •Injecting observation back into the LLM context
  • •Handling partial success and ambiguous results

Module 3: Self-Correction & Pivoting

  • •Detecting failure: heuristics vs LLM-as-judge
  • •Generating a corrected plan on failure
  • •Limiting re-plan depth to prevent infinite loops
  • •Logging the full decision trace for debugging
  • •Capstone: Python agent loop that self-corrects on wrong API output

You're all set

Everything in this course is unlocked.

Continue Learning →
✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI