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
Tesfay Aregay
A veteran of the "Big Tech" world, Tesfay has spearheaded critical infrastructure projects for Apple, Amazon, and Capital One. Currently serving as a Senior Engineer at Microsoft, he focuses on the resilience and stability of M365 global platforms. He leverages his 10+ years of expertise in distributed systems and AI-driven pipelines to mentor the next generation of engineers at Skillspire.
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.

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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.

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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.
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    • 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.

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    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.

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    How much does this course cost?

    Introductory Price (plus tax)
    Limited Seats Only
    $6999
    $6,499
    $249 Off

    Course Syllabus

    Course Program Stages
    Duration:
    Total Hours:
    Week
    Stage
    1
    -
    Introduction to Data Science and Review of Programming Fundamentals

    • Introduction to Data Science

    • Python Review

    • Variables and Data Types

    • Conditional Statements and Loops

    • Functions and Modules

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    Week
    Stage
    2
    -
    Data Manipulation with Pandas

    • Introduction to Pandas

    • Loading Data with Pandas

    • Data Manipulation with Pandas

    • Aggregating and Grouping Data with Pandas

    • Data Cleaning and Preprocessing with Pandas

    ‍

    Week
    Stage
    3
    -
    Working with Databases and APIs

    • Introduction to Databases

    • SQL Review

    • Introduction to APIs

    • Accessing Web APIs with Python

    • Processing JSON Data

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    Week
    Stage
    4
    -
    Project 1 - Data Wrangling and Analysis

    • Working with a real-world dataset using Pandas and Python

    • Data Cleaning and Preprocessing

    • Exploratory Data Analysis

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    Week
    Stage
    5
    -
    Review of Descriptives and Inferential Statistics

    • Descriptive Statistics

    • Probability Theory

    • Common Probability Distributions

    • Statistical Inference

    • Hypothesis Testing

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    View the full program syllabus, click for access!

    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    Remote
    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    In-person
    Start Date
    March 11, 2026
    End Date
    July 2, 2026
    Enrollment Status
    Closed
    Location
    Remote

    Cohort Schedule

    Start Date
    End Date
    Enrollment Status
    Location
    No items found.
    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    Remote
    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    In-person
    Start Date
    March 11, 2026
    End Date
    July 2, 2026
    Enrollment Status
    Closed
    Location
    Remote

    Cohort Time Schedule

    Mon
    5:00PM - 8:00PM PST
    Tue
    5:00PM - 8:00PM PST
    Wed
    5:00PM - 8:00PM PST
    Thu
    5:00PM - 8:00PM PST
    Fri
    Sat
    9:00AM - 3:00PM PST
    Sun
    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    Remote
    Start Date
    June 17, 2026
    End Date
    October 12, 2026
    Enrollment Status
    Closed
    Location
    In-person
    Start Date
    March 11, 2026
    End Date
    July 2, 2026
    Enrollment Status
    Closed
    Location
    Remote

    How much does this course cost?

    Flexible Payment Plan
    Learn Now, Pay Flexibly

    ‍    We believe cost shouldn’t hold you back. Ask us about our budget-friendly plans.

    Contact us to learn more:📞 425-868-8200 📧 info@skillspire.net
    One-Time / Upfront

    • One-Time / Upfront
    • Save $500 instantly
    • No monthly hassle — one simple payment
    • Best value for your tech career investment

    $6999
    $6,499
    (plus tax)
    $500 Off
    Classroom Training for Veterans:
    All veteran programs are on-campus only, providing hands-on instruction, labs, and mentorship.

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    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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    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.

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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.

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