Oreilly – AI-Powered Developer, Video Edition 2024-10

Description

AI-Powered Developer Video Edition course. This course will show you how to use advanced AI tools to increase the productivity, efficiency and quality of your codes. By watching videos that simultaneously display the text of the book, diagrams and code, you will understand the concepts easily. Using AI tools like Copilot and ChatGPT is like hiring a very smart and fast developer who can help you with everything from research to rewriting code. Programming with AI will help you work faster, write better programs, and perhaps do things that are not possible with your current team. This book shows you how to do it.

What you will learn:

• Software design and programming with the help of artificial intelligence: you will learn how to use artificial intelligence to better design and program your software.
• Generate, debug, and document code: Easily generate, debug, and document your code using AI tools.
• Improved code quality assessment: Artificial intelligence helps you to better assess the quality of your codes.
• Using artificial intelligence for software design and programming
• Generating, debugging and documenting code
• Improved code quality assessment
• Working with unknown programming languages
• Solving Complex Problems with Artificial Intelligence: You will learn how to take complex problems to artificial intelligence and use it to find solutions.
• Continuous learning and staying up-to-date: Always stay up-to-date in software development by continuously learning and using artificial intelligence.
• Develop programming skills in different languages: AI helps you improve your programming skills in different languages.

This course is suitable for people who:

• Software developers with moderate experience.
• They seek to increase the productivity and quality of their work.
• They are interested in using artificial intelligence tools in software development.
• They do not need previous experience in the field of artificial intelligence.

AI-Powered Developer Video Edition course specifications

• Publisher: Oreilly
• Instructor: Nathan Crocker
• Education level: Intermediate
• Training duration: 4 hours 8 minutes

Course headings

• Part 1. The foundation
• Chapter 1. Understanding large language models
• Chapter 1. A developer’s introduction to LLMs
• Chapter 1. When to use and when to avoid generative AI
• Chapter 1. Summary
• Chapter 2. Getting started with large language models
• Chapter 2. Let Copilot take control
• Chapter 2. Let CodeWhisperer speak loudly
• Chapter 2. Comparing ChatGPT, Copilot, and CodeWhisperer
• Chapter 2. Summary
• Part 2. The input
• Chapter 3. Designing software with ChatGPT
• Chapter 3. Asking ChatGPT to help with our system design
• Chapter 3. Documenting your architecture
• Chapter 3. Summary
• Chapter 4. Building software with GitHub Copilot
• Chapter 4. Weaving patterns, patterns, patterns
• Chapter 4. Plugging in ports and adapters
• Chapter 4. Summary
• Chapter 5. Managing data with GitHub Copilot and Copilot Chat
• Chapter 5. Monitoring our assets in real time with Kafka
• Chapter 5. Analyzing, learning, and tracking with Apache Spark
• Chapter 5. Summary
• Part 3. The feedback
• Chapter 6. Testing, assessing, and explaining with large language models
• Chapter 6. Assessing quality
• Chapter 6. Hunting for bugs
• Chapter 6. Covering code
• Chapter 6. Transliterating code—from code to descriptions
• Chapter 6. Translating from one language to another
• Chapter 6. Summary
• Part 4. Into the world
• Chapter 7. Coding infrastructure and managing deployments
• Chapter 7. Standing up infrastructure by copiloting Terraform
• Chapter 7. Moving a Docker image around (the hard way)
• Chapter 7. Moving a Docker image around (the easy way)
• Chapter 7. Deploying our application onto AWS Elastic Kubernetes Service
• Chapter 7. Setting up a continuous integration/continuous deployment pipeline in GitHub Actions
• Chapter 7. Summary
• Chapter 8. Secure application development with ChatGPT
• Chapter 8. Scrutinizing application design and identifying potential vulnerabilities
• Chapter 8. Applying security best practices
• Chapter 8. Encrypting data at rest and transit
• Chapter 8. Summary
• Chapter 9. GPT-ing on the go
• Chapter 9. Hosting your own LLM
• Chapter 9. Summary

Course images

Sample video of the course

download link

Download file – 590 MB

File(s) password: www.downloadly.ir

File size

590 MB