Course Overview

This course will equip you to: 

  • Discover how AI-powered tools on Google Cloud can streamline development workflows. 
  • Leverage Duet AI in Cloud Code for efficient code generation, completion, and log interpretation. 
  • Grasp the importance of prompt design and learn best practices for using Duet AI effectively. 
  • Utilize Vertex AI PaLM API and Codey for code generation and integration into your applications. 
  • Navigate Vertex AI Model Garden to discover and leverage pre-trained models for various solutions. 

After completing this course on Introduction to Developer Efficiency on Google Cloud, Students will be able to:

  • Identify developer efficiency challenges and how AI-powered tools address them.
  • Utilize Duet AI in Cloud Code to streamline code generation, completion, and log analysis.
  • Design effective prompts for optimal interaction with Duet AI.
  • Employ Vertex AI PaLM API and Codey for code generation and application integration.
  • Navigate Vertex AI Model Garden to explore and leverage pre-trained models for their projects.
  • Understand the process of fine-tuning models for specific use cases.

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Introduction to Developer Efficiency on Google Cloud:

  • Our Google Cloud Platform training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).

  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).

  • GCP certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).

  • Well-structured use-cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.

  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.

  • Being an official Google Cloud Platform Training Partner, we offer authored curriculum that are at par with industry standards.

Who Should Attend this Course on Introduction to Developer Efficiency on Google Cloud:

  • This course is designed for software developers who want to improve their efficiency and productivity on Google Cloud Platform (GCP).
  • Developers who are interested in exploring how generative AI can streamline their workflow.
  • Team leads and managers looking to optimize developer performance within a GCP environment.

Prerequisites:

To get the most out of this course, participants should: Basic understanding of Google Cloud Platform: Experience with software development Interest in generative AI

Download Course Outline

Topics:

  • Developer workflows and efficiency challenges
  • Developer efficiency on Google Cloud
  • AI-powered developer tools on Google Cloud
  • Developer workflows with LLMs

Objectives:

  • Describe efficiency challenges that developers face.
  • Understand how AI-powered tools on Google Cloud can improve developer efficiency.
  • Describe developer workflows when using large language models (LLMs).

Topics:

  • Introduction to Duet AI
  • Cloud Code and Duet AI
  • Generating and completing code by using Duet AI
  • Understanding logs using Duet AI

Objectives:

  • Use Duet AI in Cloud Code to write code more efficiently for your applications.
  • Use Duet AI in Google Cloud to quickly summarize your application logs.

Activities:

  • Lab: Using Duet AI Throughout the Software Development Lifecycle

Topics:

  • Why prompt design is important
  • General prompt design tips
  • Prompt design for Duet AI

Objectives:

  • Explain the fundamentals of prompt design when using Duet AI in Cloud Code.

Activities:

  • Lab: Prompt Design for Duet AI in Cloud Code

Topics:

  • Vertex AI PaLM API
  • Code generation and completion with Codey
  • Vertex AI Studio
  • Using the Codey API in your code
  • Fine-tuning Codey for specific use cases

Objectives:

  • Use the Vertex AI PaLM API and Codey for code generation.
  • Integrate Codey into applications by using the API.
  • Fine-tune Codey for specific use cases.

Activities:

  • Lab: Leveraging Codey in Your Applications

Topics:

  • Vertex AI Model Garden
  • Models types and solutions
  • Model Registry and model deployment
  • Fine-tuning models

Objectives:

  • Understand the role of Vertex AI Model Garden.
  • Explore models available in Vertex AI Model Garden.

Activities:

  • Lab: Exploring Vertex AI Model Garden

    • By earning Microsoft Azure AZ-900 Certification, you will prove competency in Cloud concepts, Azure services, Azure workloads, security, and privacy in Azure, as well as Azure pricing and support.
    • If you are beginning to work with Cloud-based solutions and services or are new to Azure, this Azure 900 fundamentals training will provide foundational knowledge of Cloud services and how those services are provided with Microsoft Azure.
    • Azure Fundamentals can be used to prepare for other Azure role-based or specialty certifications, but it is not a prerequisite for any of them.
    • On successful completion of AZ-900 Microsoft Azure Fundamentals Training aspirants receive a Course Completion certificate from us.
    • By successfully clearing the Microsoft Azure 900 exam, aspirants earn Microsoft certification.

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Course ID: 13453

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Tapajit Acharjee

I attended one webinar series under them. It was just awesome, got everything what I needed there.

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Ketan Rajpurohit

One of the best places to learn on cloud technologies. I would happily recommend CloudThat to anyone.

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Ajay Kumar Udnur

Nice trainers, they explain things in details which we would have missed if relied on Online videos.

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