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In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application. After exploring generative AI options on Google Cloud, you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models. After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI Gemini API.

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What You'll Learn

  • Explore the different options available for using generative AI on Google Cloud.
  • Use Vertex AI Studio to test prompts for large language models.
  • Understand how Vertex AI Studio keeps your data secure.
  • Introduction to LangChain
  • LangChain concepts and components
  • Integrating the Vertex AI Gemini APIs
  • Question/answering chain using Gemini API
  • Understand basic concepts and components of LangChain.
  • Develop LLM-powered applications using LangChain and LLM models on Vertex AI
  • Apply prompt engineering techniques to improve the output from LLMs.
  • Implement a RAG architecture to ground LLM models.
  • Understand the concept of memory for multi-turn chat applications.
  • Build a multi-turn chat application by using the Gemini API and LangChain.

Who Should Attend

Customers

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Prerequisites

Completion of "Introduction to Developer Efficiency on Google Cloud" or equivalent knowledge.

Learning Journey

Coming Soon...

Module 01    Introduction to Generative AI on Google Cloud
Topics

  • Vertex AI on Google Cloud
  • Generative AI options on Google Cloud
  • Introduction to course use case

Module 02    Vertex AI Studio
Topics

  • Introduction to Vertex AI Studio
  • Available models and use cases
  • Designing and testing prompts in the Google Cloud console
  • Data governance in Vertex AI Studio

Module 03    LangChain Fundamentals
Topics

  • Introduction to LangChain
  • LangChain concepts and components
  • Integrating the Vertex AI Gemini APIs
  • Question/answering chain using Gemini API

Module 04    Prompt Engineering
Topics   

  • Review of few-shot prompting
  • Chain-of-thought prompting
  • Retrieval augmented generation (RAG)
  • ReAct

Module 05    Creating Custom Chat Applications with Vertex AI Gemini API
Topics

  • LangChain for chatbots
  • Memory for multi-turn chat
  • Chat retrieva

Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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