AWS AI Mastery Series

🚀 Supercharge Your AI Journey with AWS!

Join us for an 8-week, hands-on professional development workshop series designed to empower you with practical skills in Amazon Web Services (AWS) machine learning and AI tools. From low-code regression and classification to advanced generative AI, you’ll gain step-by-step experience building real-world applications without needing deep ML expertise.

Through guided exercises, interactive demos, and applied use cases, you’ll learn how to leverage Amazon SageMaker, Comprehend, Rekognition, and Bedrock to design and deploy AI solutions across industries.

💡 What You’ll Learn

Week 1: Getting Started with AWS (October 18th, 2025)

• Lay the foundation for your AI journey by setting up AWS accounts, IAM roles, and the SageMaker environment.
• Explore core AWS ML services and how they fit into the cloud ecosystem.

Week 2: Exploring Low-Code Regression with SageMaker Canvas (October 25th, 2025)

• Use SageMaker Canvas to build, train, and evaluate regression models with minimal code.

Week 3: Low-Code Classification in AWS (November 1st, 2025)

• Build and deploy classification models using SageMaker Autopilot.
• Understand evaluation metrics (accuracy, precision, recall) and deployment workflows.

Week 4: No-Code Clustering with AWS SageMaker (November `15th, 2025)

• Discover hidden data patterns with SageMaker’s clustering tools.
• Apply clustering for customer segmentation and anomaly detection.

Week 5: Extracting Insights with AWS Text Analysis (November 22nd, 2025)

• Use Amazon Comprehend to analyze text, extract key phrases, and detect sentiment.
• Learn real-world applications like analyzing product reviews or support tickets.

Week 6: Computer Vision with AWS Rekognition (November 29th, 2025)

• Explore Rekognition for face detection, object recognition, and video analysis.
• Build simple vision applications for security, media, or content moderation.

Week 7: Image Recognition & Custom Models (December 6th, 2025)

• Train custom image recognition models with SageMaker JumpStart or Rekognition Custom Labels.
• Learn dataset preparation, labeling, and deployment of custom vision models.

Week 8: Creating with Generative AI on AWS (December 13th, 2025)

• Tap into Amazon Bedrock and foundation models to build generative AI applications.
• Experiment with text generation, chatbots, and creative AI use cases.

📅 Event Details

• When: Saturdays, 2–3 PM PST
• Format: Live, interactive virtual workshops
• Bonus: Participants receive recordings, step-by-step guides, and resource materials

👤 Who Should Attend

• Professionals and students looking to break into AI/ML
• Developers and data enthusiasts exploring low-code/no-code AI tools
• Business leaders curious about AI applications in real-world industries
• Anyone eager to explore AWS AI services hands-on

🌍 Why Join

Unlike generic tutorials, this series focuses on practical implementation and real-world applications. Each session is designed to help you walk away with tangible skills and AWS projects you can showcase, whether for career growth, business innovation, or personal learning.

🌐 Follow Us

• Instagram: @m2mtechconnect
• LinkedIn: @M2M Tech
• X (Twitter): @m2mtechconnect