ADLGCGOGoogleGO-ADLGC2.0<ul> <li>Explore the different options available for using generative AI on Google Cloud.</li><li>Use Vertex AI Studio to test prompts for large language models.</li><li>Develop LLM-powered applications using generative AI</li><li>Apply advanced prompt engineering techniques to improve the output from LLMs</li><li>Build a multi-turn chat application using the Gemini API and LangChain</li></ul><p>Completion of <span class="cms-link-marked"><a class="fl-href-prod" href="/swisscom/fr/course/google-idegc"><svg role="img" aria-hidden="true" focusable="false" data-nosnippet class="cms-linkmark"><use xlink:href="/css/img/icnset-linkmarks.svg#linkmark"></use></svg>Introduction to Developer Efficiency on Google Cloud <span class="fl-prod-pcode">(IDEGC)</span></a></span> or equivalent knowledge.</p><p>Application developers and others who wish to leverage LLMs in applications.</p><h4>Module 1 - Introduction to Generative AI on Google Cloud</h4><p> <strong>Topics:</strong> </p> <ul> <li>What is generative AI</li><li>Vertex AI on Google Cloud</li><li>Generative AI options on Google Cloud</li><li>Introduction to course use case</li></ul><h4>Module 2 - Vertex AI Studio</h4><p> <strong>Topics:</strong> </p> <ul> <li>Introduction to Vertex AI Studio</li><li>Designing and testing prompts</li><li>Data governance in Vertex AI Studio</li></ul><p><strong>Activities:</strong> </p> <ul> <li>Lab: Getting Started with the Vertex AI Studio User Interface</li></ul><h4>Module 3 - Generative AI Fundamentals</h4><p> <strong>Topics:</strong> </p> <ul> <li>Introduction to grounding</li><li>Integrating the Vertex AI Gemini APIs</li><li>Chat, memory and grounding</li><li>Search principles</li></ul><p><strong>Activities:</strong> </p> <ul> <li>Lab: Getting Started with LangChain + Vertex AI Gemini API</li></ul><h4>Module 4 - Prompt Engineering</h4><p> <strong>Topics:</strong> </p> <ul> <li>Review of few-shot prompting</li><li>Chain-of-thought prompting and thinking budgets</li><li>Meta prompting, multi-step, and panel prompts</li><li>RAG and ReAct</li></ul><p><strong>Activities:</strong> </p> <ul> <li>Lab: Advanced Prompt Architectures</li></ul><h4>Module 5 - Creating Custom Chat Applications with Vertex AI Gemini API</h4><p> <strong>Topics:</strong> </p> <ul> <li>LangChain for chatbots</li><li>ADK for chatbots</li><li>Chat retrieval</li></ul><p><strong>Activities:</strong> </p> <ul> <li>Lab: Implementing RAG Using LangChain</li></ul>- Explore the different options available for using generative AI on Google Cloud. - Use Vertex AI Studio to test prompts for large language models. - Develop LLM-powered applications using generative AI - Apply advanced prompt engineering techniques to improve the output from LLMs - Build a multi-turn chat application using the Gemini API and LangChainCompletion of Introduction to Developer Efficiency on Google Cloud (IDEGC) or equivalent knowledge.Application developers and others who wish to leverage LLMs in applications.Module 1 - Introduction to Generative AI on Google Cloud Topics: - What is generative AI - Vertex AI on Google Cloud - Generative AI options on Google Cloud - Introduction to course use case Module 2 - Vertex AI Studio Topics: - Introduction to Vertex AI Studio - Designing and testing prompts - Data governance in Vertex AI Studio Activities: - Lab: Getting Started with the Vertex AI Studio User Interface Module 3 - Generative AI Fundamentals Topics: - Introduction to grounding - Integrating the Vertex AI Gemini APIs - Chat, memory and grounding - Search principles Activities: - Lab: Getting Started with LangChain + Vertex AI Gemini API Module 4 - Prompt Engineering Topics: - Review of few-shot prompting - Chain-of-thought prompting and thinking budgets - Meta prompting, multi-step, and panel prompts - RAG and ReAct Activities: - Lab: Advanced Prompt Architectures Module 5 - Creating Custom Chat Applications with Vertex AI Gemini API Topics: - LangChain for chatbots - ADK for chatbots - Chat retrieval Activities: - Lab: Implementing RAG Using LangChain1 jour950.00595.00650.00660.002500.00820.00950.00950.00950.00790.00950.00