AI Agents for Beginners: Build Agents in Python & OpenAI

What you'll learn in this Udemy Course

• ✓ Build AI agents in Python using OpenAI Agents SDK with Memory and Tools.
• ✓ Build a travel planner AI Agent that creates an itinerary based on user preferences.
• ✓ Inspect the agent’s behavior using traces on the OpenAI API platform.
• ✓ Master best practices in creating Autonomous AI Agents
• ✓ Master the art of Prompt Engineering & Setting Up Agent Instructions
• ✓ Understand the Key components of an Effective AI Agent System Prompt (Context, Instruction, Input, & Output Indicator)
• ✓ Test AI agents and watch it run using the Runner class
• ✓ Design & build a personal finance AI agent with memory that can recall user preferences, past tasks, & ongoing conversations to deliver personalized experiences
• ✓ Integrate SQLite-based session storage to enable persistent memory for agents
• ✓ Test and compare agent behavior before and after adding memory to evaluate improvements in context retention.
• ✓ Build AI agents that integrate built-in tools (like Code Interpreter) and custom FunctionTools for real-time search & data retrieval
• ✓ Combine search, memory, and decision-making to run a full end-to-end AI agent workflow.
• ✓ Build a manager function to orchestrate multi-agent workflows from input to final deliverable.
• ✓ Implement agent collaboration by passing outputs from one agent to another in a structured workflow.
• ✓ Create modular AI agents (Researcher, Analyst, Writer) with specialized roles for information gathering, analysis, and reporting.
• ✓ Implement guardrails to enforce boundaries, such as preventing responses on restricted topics (e.g., politics).
• ✓ Build handoff mechanisms that transfer context and inputs smoothly between agents
• ✓ Create a tool as an agent by wrapping an autonomous agent behind a function-tool interface, allowing it to be invoked seamlessly by other agents.