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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
Read more

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.

Enroll now

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

Good to know

Know what's good
, what to watch for
, 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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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
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
Show steps
  • 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
Refreshing your Python knowledge will help you quickly get up to speed with the course content.
Browse courses on Python Programming
Show steps
  • Revisit the basics of Python syntax and data types
  • Practice writing Python code to solve simple problems
Review 'Rust for Systems Programming'
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
Show steps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore Generative AI tools and techniques
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
Show steps
  • 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
Attending a workshop will provide you with practical insights and hands-on experience in AI-powered development.
Show steps
  • Find a suitable workshop that aligns with the course topics
  • Participate actively in the workshop sessions
Master prompt engineering for AI models
Mastering prompt engineering is crucial for maximizing the effectiveness of generative AI in your development process.
Browse courses on Prompt Engineering
Show steps
  • 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
Building a prototype will provide you with a tangible demonstration of your skills and understanding of the course concepts.
Browse courses on Rust
Show steps
  • 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
Creating your own content will reinforce your understanding of the concepts and help you develop your communication skills.
Browse courses on Generative AI
Show steps
  • 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:

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Course image
Effort
3 to 4 hours per week for 3 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructor
Noah Gift
Session
April 23, 2024 - April 23, 2025
Language
English
Transcript
English
Good to know
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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