BOT Academy AWS AI & Machine Learning Bootcamp

Build & Certify Your AWS AI/ML Skills with Expert, In-Person Guidance

About the Program


Join BOT Academy for an immersive, in-person AWS AI & Machine Learning Bootcamp designed for professionals ready to build practical AI/ML skills and prepare for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam.

This four-week bootcamp combines hands-on labs, real-world use cases, and certification-aligned instruction to help participants move confidently into AI/ML roles or expand their existing technical skill set. Whether you’re upskilling, transitioning, or deepening your cloud expertise, this program is structured to meet you where you are—and move you forward.

Participants will work directly inside a BOT-managed AWS environment, gaining experience with modern AI/ML and generative AI services used in real enterprise settings.

Program Highlights

  • Duration: 4 weeks (16 total hours)

  • Format: In-person, instructor-led sessions

  • Schedule: Saturdays, 9:30 AM – 2:30 PM

  • Dates: February 28, March 7, March 14, March 21

Certification Focus:
Prepare for the AWS Machine Learning Engineer – Associate (MLA-C01) certification

Hands-On Learning:
Build and deploy AI/ML solutions using AWS services, including SageMaker, Bedrock, S3 Vectors, and Lambda

Real-World Application:
Work through realistic use cases and a capstone project designed to mirror real production environments

Cohort Experience:
Learn alongside a small group of peers in a focused, collaborative setting

Pricing & Access

BOT Academy is committed to access, affordability, and opportunity. Program pricing is structured to support local residents while keeping the bootcamp accessible.

💳 Payment Options

  • $100 — Orange County residents

  • $250 — Non–Orange County residents

  • $0 — Scholarship (limited availability)

Scholarship seats are limited and awarded through the application review process.

Apply Today

Applications Close: Thursday, February 20
Acceptance Notifications: Sunday, February 22
Bootcamp Begins: Saturday, February 28

Seats are limited. Not all applicants will be accepted.



Program Instruction & Learning Environment

This bootcamp is delivered by BOT Academy instructors with deep experience in AWS cloud technologies, AI/ML systems, and real-world implementation.

Participants receive access to a BOT-managed AWS sandbox environment, designed with enterprise-level guardrails, cost controls, and best practices—ensuring students gain experience that translates directly to professional environments.

BOT Academy’s approach emphasizes:

  • Practical skill development

  • Exam alignment

  • Responsible AI principles

  • Confidence in applying AI/ML tools beyond the classroom

A man with a beard wearing a blue shirt is smiling and looking at the camera, with a colorful blurred background.

Program Instructor: BOT Founder, Joshua Walker

Josh is an Army Vet who found his passion in AI Operations. As the founder and board chair of Building Our Tech, Josh brings expertise as an AWS-certified developer specializing in Cloud technologies like Amazon Web Services and Google Cloud.

At BOT Academy AWS Cloud Computing, our program, guided by industry leaders and AWS-certified experts like Josh, is dedicated to sharing practical knowledge and real-world insights. Josh and our instructors ensure that participants not only master the technical aspects of AWS Cloud Computing but also gain valuable industry best practices.

Curriculum Overview

Week 1: AI/ML Foundations & Exam Mapping

  • AI vs ML vs Generative AI

  • Core ML concepts and tradeoffs

  • Overview of the MLA-C01 exam domains

  • Hands-on data exploration in SageMaker

Week 2: Data Preparation & Model Development

  • Data cleaning and feature engineering

  • Training and evaluating classical ML models

  • Understanding performance, bias, and interpretability

Week 3: Generative AI & Foundation Models

  • Prompt engineering and RAG fundamentals

  • Using Amazon Bedrock and Titan models

  • Building AI workflows with LangChain and S3 Vectors

Week 4: Capstone & Certification Readiness

  • Design and deploy an AI/ML solution

  • Build and demo a Bedrock-powered agent

  • Exam strategy and next-step study planning

Why Choose BOT Academy AWS AI & Machine Learning?

  • Expert Guidance: Learn from instructors with hands-on AWS and AI/ML experience

  • Career Advancement: Build in-demand skills aligned to an industry-recognized AWS certification

  • In-Person Learning: Structured, focused sessions that promote accountability and deeper understanding

  • Community Impact: Join a supportive learning environment centered on growth, access, and opportunity

Eligibility & Application Details

Eligibility:
Open to adults (18+) based in Central Florida or able to attend in person

Application Process:
Complete the online application form

Deadline:
Applications close February 20

Cost:
$100 (Orange County) | $250 (Non–Orange County) | Scholarship available

Don’t miss the opportunity to build real AI/ML skills in a guided, in-person environment.
Apply today and take your next step into AWS AI & Machine Learning.