AI and Machine Learning: Code, Train, & Deploy

Master Python, TensorFlow, and Deep Learning through 100% remote cohorts available across the U.S. Veterans & VA Benefit Users: To comply with VA regulations, instruction must be completed in-person at our main campus in SeaTac, WA.
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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

Master Python, TensorFlow, and Deep Learning through 100% remote cohorts available across the U.S. Veterans & VA Benefit Users: To comply with VA regulations, instruction must be completed in-person at our main campus in SeaTac, WA.

What you’ll learn

Course Objectives

Course Prerequisites

What does this course look like?

  • Career Outcomes: AI Engineer, Data Scientist, Machine Learning Specialist
  • Location Accessibility: 100% Remote (Nationwide US) | In-Person (SeaTac, WA)
  • Veteran Eligibility: GI Bill® & VA Benefit Approved (In-Person Only)
  • Core Tech Stack: Python, Pandas, TensorFlow, PyTorch, SQL, & GenAI
  • Course Duration: 16 Weeks (Immersive)
  • Credential: Professional Certificate of Completion
  • Who is it for?

    This immersive program is designed for:

    • U.S. Career Changers: Students across the United States seeking the flexibility of 100% remote, expert-led AI training.
    • Veterans & Military Spouses: Transitioning service members in Washington State seeking VA-approved, hands-on vocational training at our SeaTac campus.
    • Tech Professionals: Developers and Analysts looking to integrate Generative AI and Machine Learning into their existing skill sets.

    Course-Specific FAQ

    Q: Can I take the Embracing AI course if I live outside of Washington?

    A: Yes! This course is available 100% remote for students across the United States. Our live, instructor-led sessions are designed to fit the schedules of working professionals nationwide.

    Q: I am a Veteran; can I take this upskilling course online using my GI Bill®?

    A: No. To maintain VA compliance and ensure high-impact mentorship, all VA-funded programs must be attended in-person at our main campus in SeaTac, Washington.

    Q: Does this course teach me how to build AI, or how to use it?

    A: This course focuses on AI-Augmented Development. You will learn how to use Generative AI tools (like GitHub Copilot and LLMs) to accelerate coding, automate testing, and improve overall software architecture efficiency.

    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

    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

    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

    Week
    Stage
    5
    -
    Review of Descriptives and Inferential Statistics

    • Descriptive Statistics

    • Probability Theory

    • Common Probability Distributions

    • Statistical Inference

    • Hypothesis Testing

    View the full program syllabus, click for access!

    Start Date
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    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
    September 16, 2026
    January 13, 2027
    Open
    In-person
    September 16, 2026
    January 13, 2027
    Open
    Remote
    Start Date
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    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
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    September 16, 2026
    End Date
    January 13, 2027
    Enrollment Status
    Open
    Location
    In-person
    Start Date
    March 11, 2026
    End Date
    July 2, 2026
    Enrollment Status
    Closed
    Location
    Remote

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    2
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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.