Embracing AI: Transform Your Software Development Career

Learn how Generative AI and large language models (LLMs) are changing software development and how to use these technologies to improve your development workflow. You'll explore AI-powered development tools, prompt engineering for code, AI-assisted debugging, and practical applications of AI in software engineering. Through hands-on exercises and projects, you'll learn how to use AI to support coding, testing, problem-solving, and other parts of the software development lifecycle. You'll also develop a personalized learning path to help you adapt your skills and stay competitive as AI continues to reshape software development.
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Your Instructor
Mohamed Ahmed, PhD
Mo, a Seattle-based entrepreneur and investor, specializes in AI-driven innovation. He transformed Magalix from an idea into a multi-million-dollar success, leveraging AI to optimize cloud infrastructure. With deep expertise in product and people leadership, he helps enterprises harness AI for growth and efficiency.
Course Overview

Learn how Generative AI and large language models (LLMs) are changing software development and how to use these technologies to improve your development workflow. You'll explore AI-powered development tools, prompt engineering for code, AI-assisted debugging, and practical applications of AI in software engineering. Through hands-on exercises and projects, you'll learn how to use AI to support coding, testing, problem-solving, and other parts of the software development lifecycle. You'll also develop a personalized learning path to help you adapt your skills and stay competitive as AI continues to reshape software development.

What you’ll learn

Build practical AI-augmented software development skills using Generative AI and LLM-powered tools. You'll explore GitHub Copilot, ChatGPT for developers, prompt engineering, AI-assisted debugging, and AI tools for software development while learning how these technologies can enhance your existing workflow.

Through hands-on projects, you'll learn how AI can help automate development tasks, improve productivity, support testing and debugging, and assist with software architecture and problem-solving. You'll also explore how AI is changing developer roles and identify the skills you need to continue growing in an AI-driven industry.

Course Objectives

Course Prerequisites

What does this course look like?

Skillspire's 5-week AI for Developers course is an instructor-led program combining live instruction, practical exercises, and hands-on projects. The curriculum covers the role of AI in software development, the impact of AI on developer roles, AI tools and platforms, personalized AI learning strategies, and practical applications.

Who is it for?

This course is designed for software developers, software engineers, tech leads, architects, and other technical professionals who want to learn how to use AI effectively in software development.

It's especially suited for developers who want to increase productivity, incorporate AI tools into their development workflow, and understand how Generative AI and LLMs are changing software engineering. The course is focused on using AI to enhance existing development skills rather than teaching participants how to become machine learning engineers.

Course Syllabus

Course Program Stages
Duration:
5 weeks
Total Hours:
20
Week
Stage
1
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Introduction to AI in Software Development

Explore the evolution of AI and its current role in development.

Week
Stage
2
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The Impact of AI on Developer Roles

Discover how AI automates tasks, creates new opportunities, and enhances skills.

Week
Stage
3
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AI Tools and Platforms for Developers

Learn about popular AI tools and their integration into workflows.

Week
Stage
4
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Crafting Your AI Learning Path

Develop a personalized learning plan to boost your career with AI.

Week
Stage
5
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Practical Applications and Projects

Apply AI through hands-on projects and showcase your skills.

View the full program syllabus, click for access!

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Cohort Schedule

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Cohort Time Schedule

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6:00 PM PST - 8:00 PM PST
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Want to learn full stack web development but don’t know where to start? Consider signing up to learn full stack with Python.

Python is easy to learn and great for back-end coding. The popularity of Python as a programming language is on the upsurge, thanks to its readability and ability to do more with less coding. If you are looking for a course that offers Python web development for beginners, look no further. Our online course allows you to learn full stack web development with Python at your own pace from the comfort of your home.

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computer
As part of our full stack development course, you’ll also learn JavaScript and a suite of frameworks and tools that work with Java.

Our Java full stack developer course is designed to kickstart your programming career as a Java full stack developer. We regularly update our Java full stack developer course to make sure it is relevant and useful for our students. If you want to join our full stack JavaScript course, but aren’t sure if you have time to attend the classes, don’t worry. We schedule our classes on weekends and weekday evenings. Even if you work full-time, you can still attend our classes.

The opportunity is yours. We help you take it.
1
Submit your application and receive emails
2
Take skillspire coding skills assessment
3
Receive offers to join for the portfolio project
Start your application today
Apply
The opportunity is yours. We help you take it.
1
Submit Your Application
2
We’ll go over different class and payment options
3
You’ll start learning skills for a new career
Start your application today and explore scholarship opportunities based on eligibility.
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Frequently asked questions
Do I need programming experience for your courses?

No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.

Who should take your courses?

Our courses are designed for diverse backgrounds; If programming or tech is a career track that you really want to pursue, you may sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student, etc.

How much time do I need to spend studying outside of the classroom?

It can vary depending on your unique background. However, it usually takes 18 hours/week outside of the classroom for homework and study time.

Will I be given a certificate after the completion of the course?

Yes, you will be given a certificate of completion for any course, after you pass the final exam.