Build real AI agents in Python from the ground up—starting with the foundations, then mastering prompting, and finally designing multi-step workflows and prompt chains that behave reliably in real products. This course is hands-on: every section includes examples + exercises, with weekly progress follow-ups.

Course Format & Schedule

• Total duration: 12 hours
• Sessions: 4 weeks × 3 hours (Starting Saturday 10 Jan 2026)
• Day & time: Every Saturday — 6:00 PM to 9:00 PM
• Weekly private coaching: Each participant gets 15–30 minutes 1 to 1 with the instructor every week to review exercise progress, unblock issues, and improve implementation quality.

Course Materials

Section 1: Introduction to AI Agents

What you’ll learn:

You’ll understand what an AI agent is , how agents differ from simple chatbots, and how agent systems make decisions, use tools, and execute tasks. We’ll cover the core building blocks: goals, memory, tools, planning, and safety boundaries—all in a Python-first way.

Section 2: Essential Prompting Techniques

What you’ll learn:

Prompting is not “writing text”—it’s engineering how the model thinks and behaves. You’ll learn the essential techniques that make agents consistent: clear instructions, structured outputs, role boundaries, evaluation prompts, guardrails, and failure handling.

Section 3: Workflows and Prompt Chaining

What you’ll learn:

This is where agents become practical. You’ll learn how to break big tasks into smaller steps and connect them into workflow pipelines. You’ll build prompt chains that can: plan → execute → validate → refine. You’ll also learn when to use chaining vs tools vs memory.

Who This Course Is For

This course is ideal if you want to:

• Build production-minded AI agents in Python
• Understand prompting beyond basic “chat prompts”
• Design agent workflows that are structured, testable, and scalable

Recommended background:

Basic Python knowledge and comfort with writing small scripts.

Benefits After Finishing the Course

• Build practical AI agents in Python: you’ll be able to design, implement, and run real agent systems (not just chatbots) using tools, rules, and structured outputs.
• Master workflows & prompt chaining: you’ll create reliable multi-step pipelines (plan → execute → validate → refine) that are ready for real automation use cases.
• Ship a mini-portfolio of agent exercises: you’ll finish with working examples you can reuse in your projects, demos, or client work.
• Get certified by Winners Academy: every attendee receives a Winners Academy Certificate of Completion confirming they practiced and completed AI agents development exercises throughout the course.

Enrollment

• Course price: $200 only
• Schedule: Saturdays, 6:00 PM – 9:00 PM

• Private coaching: 15–30 minutes per week per participant