Exploring Workflows with Gemini in Python

Übersicht

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.

Lehrplan

• Unit 1: Getting Started with Gemini
Building Your First Complete Gemini Interaction
Extracting Text and Finish Reason from Gemini Responses
Building Multi-Turn Conversations with Gemini
Robust Text Extraction from Response Parts
• Unit 2: Prompt Chaining with Gemini
Building Your First Prompt Chain Link with Gemini
Implementing Validation Layer in Prompt Chains
Fine-Tuning Validation Guardrails
Three-Step Prompt Chaining: Summary, Validation, and Translation
Add Translation Quality Review to Prompt Chain
• Unit 3: Task Routing with Gemini
Building an Intelligent Task Router
Implementing Specialist Mapping Logic
Implementing Specialist Response Generation in Task Router
Adding Explanations to Intelligent Router
Extending the Routing System with a Science Specialist
• Unit 4: Parallel Processing with Gemini
Converting Synchronous Gemini Code to Asynchronous
Parallel Async Execution with asyncio.gather()
Two-Phase Async Workflow with Result Aggregation

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Fachgebiete

Artificial Intelligence