Building Effective Agents with Gemini in Python

Overview

Become an Agentic AI Engineer by mastering Gemini. Learn workflow orchestration, tool integration, and multi-agent patterns. Scale your systems with asynchronous Python to build high-performance, autonomous agents capable of solving complex, multi-step tasks.

Syllabus

Course 1: Exploring Workflows with Gemini in Python
Course 2: Developing Gemini Agents with Tool Integration in Python
Course 3: Mastering Agentic Patterns with Gemini in Python
Course 4: Parallelizing Gemini Agentic Systems in Python

Courses

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Explore how to orchestrate Gemini through common workflow patterns. Master strategies for decomposing complex tasks, routing work efficiently, and executing parallel operations using only prompt engineering and API call orchestration.
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Discover how to enhance Gemini's capabilities by integrating custom tools and functions. Progress from creating tool schemas to building autonomous agents that can interact with external systems through iterative function/tool use.
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Build sophisticated multi-agent systems where specialized agents collaborate to solve complex problems. Learn patterns for agent coordination, orchestration, and delegation to create systems greater than the sum of their parts.
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Scale Gemini-powered systems to handle high-throughput workloads through asynchronous programming. Master async function execution, concurrent API calls, and parallel tool processing. Learn to support multiple specialized agents working simultaneously, enabling efficient multi-task processing and coordination without blocking on individual requests.