AWS Certified AI Practitioner Bootcamp
Data Science Academy
AI & AWS Certification Bootcamp
Break into AI on AWS and pass certification with real hands-on skills
AI is no longer optional—it’s becoming a core skill across engineering, product, data, and business roles. But most learners struggle with one major problem: they either learn theory without practical application, or they explore tools without understanding how everything fits together—especially on AWS.
This course solves that gap.
Instead of overwhelming you with scattered concepts, this bootcamp gives you a clear, structured path to understand how AI actually works on AWS—from foundation models and prompt engineering to real AI services like Bedrock, SageMaker, Rekognition, and Lex.
At the same time, this course is aligned with the AWS Certified AI Practitioner exam, helping you build both practical skills and certification confidence. You’ll understand architecture patterns, common exam traps, and how to approach scenario-based questions effectively.
If you’ve been trying to break into AI, transition into cloud AI roles, or simply make sense of AWS’s rapidly evolving AI ecosystem—this course gives you a focused, hands-on, and career-relevant path forward.
What you’ll learn
Go from AI beginner to AWS AI practitioner—build real skills, understand systems, and pass certification with confidence.
Break down AI, ML, deep learning, and generative AI clearly
Map concepts to AWS services like Bedrock and SageMaker
Connect AI use cases to real-world business problems
Explore LLMs, embeddings, tokens, and context windows
Use Amazon Bedrock to access and test models
Practice real text generation and AI workflows
Apply prompt patterns, system prompts, and few-shot techniques
Build structured prompts for consistent results
Test, refine, and debug prompts in practical scenarios
Create chatbot-style AI apps using Bedrock APIs
Understand inference workflows and knowledge bases
Connect prompts with real application logic
Analyze text and documents using Comprehend and Textract
Build image and vision pipelines with Rekognition
Create conversational bots using Amazon Lex
Understand exam structure and key architecture patterns
Practice scenario-based thinking and common traps
Build confidence with guided review and mock preparation
Learn directly from Data
Data Science Academy
Building real-world AI & AWS systems with hands-on training
Who this course is for
Beginners and non-technical learners who want to break into AI using AWS with a structured, hands-on path
Cloud, data, or software professionals preparing for AWS AI Practitioner certification and practical AI skills
Product managers, analysts, and tech enthusiasts who want to apply generative AI and AWS tools in real work scenarios
What's included
Live sessions
Learn directly from Data Science Academy in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
15 lessons • 14 projects
Week 1
Day 1 — Introduction to AI & AWS AI Landscape
Day 2 — Generative AI Fundamentals
Day 3 — Foundation Models & Model Providers
Day 4 — Prompt Engineering
Day 5 — Building AI Applications with Amazon Bedrock
Day 6 — Machine Learning on AWS
Day 7 — AWS AI Services Overview
Week 2
Day 8 — Natural Language Processing with AWS
Day 9 — Computer Vision with AWS
Day 10 — Conversational AI Systems
Day 11 — AI Data Pipelines on AWS
Day 12 — Responsible AI & Security
Day 13 — AI Architecture Patterns
Day 14 — Certification Preparation
MOCK Exam
Schedule
Live sessions
1 hr / week
Projects
14 hrs / week
Async content
5 hrs / week
Frequently asked questions
$50
USD
6 days left to enroll