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Using GenAI to Automate Software Development Tasks

Noah Gift

In this cutting-edge course, you will:

Learn how to leverage generative AI to streamline your development workflow
Explore AI pair programming tools like CodeWhisperer to boost productivity
Master prompt engineering techniques to guide AI models and shape outputs
Understand the role of Rust and Python in the era of MLOps and GenAI
Gain hands-on experience with AWS services like Code Catalyst, SageMaker, and Lightsail

In this cutting-edge course, you will:

Learn how to leverage generative AI to streamline your development workflow
Explore AI pair programming tools like CodeWhisperer to boost productivity
Master prompt engineering techniques to guide AI models and shape outputs
Understand the role of Rust and Python in the era of MLOps and GenAI
Gain hands-on experience with AWS services like Code Catalyst, SageMaker, and Lightsail

Whether you're a seasoned developer or just starting your journey, this course will equip you with the skills and knowledge to harness the power of AI and revolutionize the way you build software. Get ready to stay ahead in the rapidly evolving world of AI-driven development.

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What's inside

Learning objectives

Automating software development tasks with generative ai
Utilizing ai pair programming tools like codewhisperer
Crafting effective prompts to guide ai models

Applying mlops best practices for rust and python
Leveraging aws services for ai-powered development workflows

Automating software development tasks with generative ai
Utilizing ai pair programming tools like codewhisperer
Crafting effective prompts to guide ai models
Applying mlops best practices for rust and python
Leveraging aws services for ai-powered development workflows

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Beginners seeking a broad understanding of AI-powered software development will benefit from this introduction to Rust and Python

Provides hands-on learning, allowing you to apply the concepts to practical scenarios

Teaches prompt engineering techniques necessary for effective AI model guidance

Incorporates MLOps best practices, ensuring industry-aligned learning

Utilizes AWS services such as Code Catalyst, SageMaker, and Lightsail, adding practical value

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Reviews summary

Practical genai for software development

According to learners, this course is a highly relevant and practical guide to automating software development tasks with generative AI. Many students highlight the hands-on labs and the excellent coverage of prompt engineering as particularly valuable, finding them immediately applicable to their work and a game-changer for productivity, especially with AI pair programming tools like CodeWhisperer. While the course provides a solid foundation and is praised for its clear explanations, some learners with less prior experience found the Rust section fast-paced or felt the course could offer more advanced depth for seasoned practitioners. Despite these minor points, it's widely considered excellent for professionals seeking to leverage AI and AWS services.

Highly relevant for developers seeking to integrate AI into their workflows.

"This course is incredibly well-structured and highly relevant for anyone in software development looking to integrate AI."

"This is a must-take for any developer wanting to enhance their practices with AI."

"It's a valuable course for getting started with GenAI in a dev context, very applicable."

Offers valuable hands-on experience with tools and services for AI-driven development.

"The hands-on labs with CodeWhisperer and AWS services like SageMaker really solidified my understanding."

"The course excels in its practical demonstrations and hands-on exercises."

"This course perfectly blends theory with practical application; it shows you exactly how to automate."

Provides highly practical techniques for guiding AI models effectively.

"The prompt engineering module was a standout, offering practical techniques I could immediately apply."

"Prompt engineering alone made this course worth it; it has directly impacted my productivity."

"I found the prompt engineering parts absolutely fantastic and very practical."

May lack advanced depth for experienced practitioners seeking complex MLOps strategies.

"While it covers a broad range of topics, some parts felt a bit superficial for someone already experienced."

"I felt the course lacked the depth I was looking for as an experienced developer."

"I was hoping for more advanced MLOps strategies, but many concepts were just touched upon."

The Rust segment is fast-paced and assumes significant prior knowledge, posing a challenge.

"The Rust section felt a bit fast-paced and assumed more Rust proficiency than I had."

"As a non-Rust user, I found the Rust part completely inaccessible and hard to follow."

"The Rust module was quite challenging; I had to pause and learn Rust basics separately."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Using GenAI to Automate Software Development Tasks with these activities:

Review programming fundamentals

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Refreshing your programming fundamentals will strengthen your foundation and make it easier to grasp the advanced concepts introduced in this course.

Browse courses on Programming Fundamentals

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Revisit basic data structures and algorithms
Practice solving coding problems on platforms like LeetCode or Hackerrank
Review common programming patterns and design principles

Review Python programming concepts

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Refreshing your Python knowledge will help you quickly get up to speed with the course content.

Browse courses on Python Programming

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Revisit the basics of Python syntax and data types
Practice writing Python code to solve simple problems

Review 'Rust for Systems Programming'

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This book will provide a comprehensive foundation for Rust, enhancing your understanding of the course material.

View The Rust Programming Language, 2nd Edition on Amazon

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Five other activities

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Explore Generative AI tools and techniques

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Hands-on practice with Generative AI tools will help you quickly become comfortable using them in real-world development projects.

Browse courses on Generative AI

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Follow tutorials on using CodeWhisperer for pair programming
Experiment with different prompt engineering techniques to guide AI models
Practice integrating generative AI tools into your development workflow

Attend a workshop on AI-powered development

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Attending a workshop will provide you with practical insights and hands-on experience in AI-powered development.

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Find a suitable workshop that aligns with the course topics
Participate actively in the workshop sessions

Master prompt engineering for AI models

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Mastering prompt engineering is crucial for maximizing the effectiveness of generative AI in your development process.

Browse courses on Prompt Engineering

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Identify the key components of an effective prompt
Practice writing prompts for different tasks and domains
Evaluate the quality of AI-generated outputs based on prompt clarity and precision

Develop a prototype using Rust and Python

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Building a prototype will provide you with a tangible demonstration of your skills and understanding of the course concepts.

Browse courses on Rust

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Choose a project idea that leverages Rust and Python
Design and implement the prototype using the skills learned in this course
Document the development process and showcase the prototype

Create a blog post or video tutorial on Generative AI in software development

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Creating your own content will reinforce your understanding of the concepts and help you develop your communication skills.

Browse courses on Generative AI

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Choose a specific aspect of Generative AI in software development to focus on
Research and gather information from reliable sources
Create a well-organized and engaging blog post or video tutorial

Career center

Learners who complete Using GenAI to Automate Software Development Tasks will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Using GenAI to Automate Software Development Tasks.

Fluent Python

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Serves as the ultimate masterclass in idiomatic Python, guiding developers through data models, generators, metaprogramming, and concurrent concurrency patterns.

Fluent Python: Clear, Concise, and Effective...

Paperback

Fluent Python: Clear, Concise, and Effective...

Paperback

$$$

(日本語) Fluent Python ―Pythonicな思考とコーディング手法