Bootcamp:

AI & Machine Learning: Code, Train, Deploy

Launch Your Career in Artificial Intelligence & Data Science The Skillspire AI & Machine Learning Course is a comprehensive, 16-week immersive program meticulously crafted to equip you with the practical skills needed to thrive in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML). From understanding fundamental concepts to deploying real-world AI applications, this coding bootcamp provides hands-on training using industry-standard tools like Python and TensorFlow.
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Your Instructor
Melanie Milligan
Melanie is a seasoned Data Consultant with a wealth of experience in the field of data analytics. Melanie has been at the forefront of data-driven decision-making, helping organizations harness the power of their data to drive business insights and growth.
Course Overview

Launch Your Career in Artificial Intelligence & Data Science The Skillspire AI & Machine Learning Course is a comprehensive, 16-week immersive program meticulously crafted to equip you with the practical skills needed to thrive in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML). From understanding fundamental concepts to deploying real-world AI applications, this coding bootcamp provides hands-on training using industry-standard tools like Python and TensorFlow.

What you’ll learn

Our comprehensive AI and Machine Learning course covers essential skills and frameworks to make you a versatile data professional.

Foundations of Data Science & Programming

  • Introduction to Data Science: Understand the complete data science workflow, from problem definition to insights and deployment.
  • Python Programming Fundamentals: Master Python, the leading language for AI, Machine Learning, and data analysis. Learn core syntax, data structures, and object-oriented programming.
  • Data Manipulation with Pandas: Become proficient in data wrangling, cleaning, and transformation using the powerful Pandas library for efficient data preprocessing.
  • Working with Databases & APIs: Learn to extract and manage data from various sources, including SQL databases and external APIs, crucial for real-world AI projects.

Core Machine Learning & Deep Learning

  • Classical Machine Learning: Explore supervised and unsupervised learning algorithms, including regression, classification, clustering, and dimension reduction. Build, train, and evaluate machine learning models.
  • Deep Learning with TensorFlow: Dive into the world of neural networks. Learn to build and train deep learning models for complex tasks like image recognition and sequence prediction using TensorFlow.
  • Natural Language Processing (NLP): Understand techniques for processing and analyzing human language. Develop NLP models for sentiment analysis, text generation, and more.
  • Reinforcement Learning: Explore how agents learn to make decisions in dynamic environments through trial and error.

AI Model Deployment & Real-World Applications

  • Model Evaluation & Optimization: Master techniques to assess your AI models' performance and optimize them for accuracy and efficiency.
  • Cloud Platform Integration: Learn to leverage cloud services for scaling AI/ML workloads and deploying your models for production use.
  • Ethical AI Considerations: Understand the importance of responsible AI development, fairness, transparency, and bias mitigation.
  • Capstone Project: Real-World AI Application: Apply all your learned skills to develop a significant AI project, from data collection and model training to deployment, showcasing your ability to deliver end-to-end machine learning solutions.

Course Objectives

Course Prerequisites

What does this course look like?

  • Duration: This is a 16-week program.
  • Learning Approach: It combines hands-on learning with real-world applications.
  • Core Focus: It guides students through key AI and machine learning concepts.
  • Practical Experience: Learners will engage in interactive coding exercises and projects.
  • Tools Used: The course involves working with tools like TensorFlow, PyTorch, and cloud platforms.
  • Key Topics Covered:
    • Data preprocessing
    • Machine learning models
    • Deep learning
    • Natural language processing
    • Reinforcement learning
  • Culminating Activity: The course concludes with a capstone project, where students apply their skills to a real-world AI challenge.

In essence, it's a comprehensive, practical, and project-based program designed to equip students with skills in various AI and machine learning domains.

Who is it for?

This AI & Machine Learning immersive program is ideal for:

  • Aspiring Data Scientists & Analysts: Build the foundational and advanced skills needed to launch a successful career in data science and analytics.
  • Professionals Seeking Career Transition: If you're looking to move into AI, Machine Learning, or data-related roles, this bootcamp provides the practical expertise you need.
  • Programmers & Developers: Enhance your skillset by adding powerful AI and Machine Learning capabilities to your development toolkit.
  • Python Enthusiasts: Leverage your Python knowledge to dive into complex AI model development and data analysis.

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
October 8, 2025
End Date
February 4, 2026
Enrollment Status
Open
Location
In-person

Cohort Schedule

Start Date
End Date
Enrollment Status
Location
October 8, 2025
February 4, 2026
Open
In-person
Start Date
October 8, 2025
End Date
February 4, 2026
Enrollment Status
Open
Location
In-person

Cohort Time Schedule

Mon
5pm -8pm PST
Tue
5pm -8pm PST
Wed
5pm -8pm PST
Thu
5pm -8pm PST
Fri
Sat
9:00AM -03:00 PM PST
Sun
Start Date
October 8, 2025
End Date
February 4, 2026
Enrollment Status
Open
Location
In-person

Not sure about

AI & Machine Learning: Code, Train, Deploy

Here’s what our instructor has to say

We now have Classroom* and Remote courses in WA state.
*Veterans can only attend Classroom/In-person Classes
Scholarship
We offer scholarships based on eligibility upon receiving an application. Apply For Consideration

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.

Vetrans
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
Apply
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.

Still Have Questions? Let's talk!

Book a call below and we can answer your questions and gide you through your opportunities.