Master Data Science, AI & ML with Industry Experts

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Get monthly office hours, labs, readings, video lessons and digital certificates in the fastest growing platform in the world

Invest in yourself and stand out in your field - real skills & results

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Start your Journey for Free

Start your cloud journey with comprehensive AWS certification preparation.

7-week structured curriculum

40+ in-depth video lessons

Hands-on labs and demonstrations

Practice exams and quizzes

What You'll Learn:
  • Cloud computing fundamentals and AWS architecture
  • Core AWS services (compute, storage, database, networking)
  • Security, identity, and compliance in AWS
  • Billing, pricing models, and cost optimization
  • Real-world deployment and operational best practices
Start Learning Free
7 weeks
Course Curriculum Preview
Week 1: Introduction & Exam Prep 9 lessons
Week 2: Cloud Computing Fundamentals 8 lessons
Week 3: AWS Core Services 14 lessons
Week 4: Security & Operations 8 lessons
Week 5-7: Labs & Practice Exams 5 lessons
Taught by Noah Gift, AWS ML Hero

Explore more benefits below

Learn by Doing with Interactive Labs

Transform theory into practical skills through our hands-on lab environments.

Unlike platforms that only offer videos or readings, our interactive lab environments let you:

  • Work with real tools in preconfigured cloud environments
  • Build actual ML pipelines, data engineering workflows, and cloud architectures
  • Get immediate feedback on your implementations
  • Develop portfolio-worthy projects guided by industry best practices

Our labs bridge the gap between academic knowledge and workplace readiness, giving you confidence to apply your skills in real-world scenarios.

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Interactive hands-on lab environment

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Enhance Your Career with Industry-Recognized Certifications

Earn credentials that validate your skills and open doors to new opportunities.

Our certification preparation courses are:

  • Designed by industry experts with real-world experience
  • Focused on practical skills that employers demand
  • Structured to help you master complex concepts step-by-step
  • Updated regularly to reflect the latest certification requirements

Whether you're looking to advance in cloud computing, data engineering, or AI, our certification courses provide comprehensive preparation for industry-recognized credentials from AWS, Microsoft, Google Cloud, and Databricks.

Explore All Certification Courses

Why Get Certified?

Build new skills that can be validated

Preferred by hiring managers

Stand out among other job candidates

Find out more

Why Pragmatic AI Labs?

Learn from the Best

Get taught by the same professors and industry leaders who teach at Duke University and work at companies like Microsoft and AWS

Applied, Not Theoretical

Focus on practical skills and techniques you can immediately apply in your job, not abstract concepts with limited real-world application

Career Advancement

Our graduates have secured roles at top companies and seen significant salary increases after completing our programs

Community Access

Connect with fellow learners and industry professionals through our Discord community and monthly office hours

Learn at Your Pace

Self-paced learning that fits your schedule, with content structured to accommodate busy professionals

Exceptional Value

Access $80,000 worth of graduate-level education for just $20/month, with no long-term commitment required

All our courses

Master in-demand skills with expert guidance

Industry-Leading Curriculum

Explore Our Specialized Tracks

AI & Machine Learning

  • Generative AI Fundamentals
  • LLMOps with Azure
  • MLOps Platforms
  • Local LLM Deployment
  • Responsible AI Practices
15+ courses available

Cloud Computing

  • AWS Certification Journey
  • Azure Fundamentals
  • Google Cloud Platform
  • Serverless Applications
  • Cloud Security Practices
10+ courses available

Programming & Development

  • Rust Fundamentals
  • Python for MLOps
  • Zig Systems Programming
  • CLI Development
  • WebSockets with Rust
8+ courses available

Data Engineering

  • Databricks Engineering
  • AWS AI Analytics
  • Advanced Data Engineering
  • Python & SQL for Data
  • Rust Data Engineering
7+ courses available

DevOps & MLOps

  • Machine Learning Operations
  • GitHub Enterprise Administration
  • CLI Automation with AWS
  • Virtualization & Containers
  • Rust for DevOps
9+ courses available

Professional Skills

  • Agile with AI
  • AI Ethics
  • GitHub Fundamentals
  • Technical Project Management
  • System Architecture Design
6+ courses available

Over 50 courses available, with new content added monthly

Start with our free course to experience our teaching approach

50+

Expert-led Courses

Covering cutting-edge topics

1M+

Global Learners

From 150+ countries

12+

Industry Partners

Including AWS and Microsoft

20+

Years of Experience

From our industry-leading experts

Who are we?

Noah Gift is a renowned technology leader with over 30 years of experience, is a recognized expert on MLOps, data engineering, cloud architecture, and Rust programming. He combines his industry expertise with teaching roles at Duke University and other institutions, making complex topics understandable to thousands of students worldwide. An award-winning author of best-selling books on DevOps, MLOps, data engineering, and cloud computing, Gift is also an AWS ML Hero, Python Software Foundation Fellow, and sought-after keynote speaker at conferences focused on cloud development and ethical AI use.

Alfredo Deza is a former Olympic high jumper and world champion, combines his passion for continuous learning with his extensive technical expertise in his current role at Microsoft Developer Relations. With nearly 20 years of experience as a software engineer and educator, Alfredo has taught machine learning engineering and DevOps courses, written books on DevOps and Python for O'Reilly, and serves as an Adjunct Assistant Professor at Duke University. His expertise spans Azure, cloud computing, MLOps, Python, Rust, Databricks, and CI/CD automation, which he shares through frequent guest lectures at prestigious universities worldwide.

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