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
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.