Mastering AI on AWS: Training AWS Certified AI-Practitioner

Overview

This comprehensive course, "Mastering AI on AWS:

Training AWS Certified AI Practitioner" is designed to equip you with the knowledge and skills to excel in AI and machine learning using AWS services. Whether you're a cloud professional, developer, or AI enthusiast, this course will guide you through the fundamentals of AI and machine learning while providing hands-on experience with cutting-edge AWS AI services like Amazon SageMaker, Rekognition, Comprehend, Polly, and more.

Syllabus

• Introduction to AI and Machine Learning
Overview of AI and ML concepts
Importance of AI in the cloud
AWS's role in the AI landscape
• Getting Started with AWS for AI
Setting up an AWS account
Introduction to AWS Management Console
Understanding IAM roles and permissions for AI services
• AWS AI and Machine Learning Services Overview
Overview of key AWS AI services
Use cases and benefits for each service
Selecting the right AI service for your needs
• Deep Dive into Amazon SageMaker
Setting up and configuring SageMaker
Building, training, and deploying ML models
Using built-in algorithms and custom models
SageMaker Studio and Jupyter notebooks
• Image and Video Analysis with Amazon Rekognition
Understanding Rekognition features
Face detection and recognition
Object and scene detection
Use cases and practical applications
• Natural Language Processing with Amazon Comprehend
Key capabilities of Comprehend
Sentiment analysis and entity recognition
Language and topic modeling
Integration with other AWS services
• Text-to-Speech with Amazon Polly
Overview of Polly's features
Creating lifelike speech and customizing output
Use cases for text-to-speech conversion
Integration with applications and services
• Additional AWS AI Services
Introduction to Amazon Lex for conversational interfaces
Overview of Amazon Transcribe for speech-to-text
Using Amazon Translate for language translations
• Implementing AI Solutions on AWS
Designing effective AI workflows
Best practices for deploying AI models
Monitoring and optimizing AI application performance
• Preparing for the AWS Certified AI Practitioner Exam
Exam overview and format
Key topics covered in the exam
Study resources and tips for success
• Hands-On Labs and Projects
Guided lab exercises for each major AWS service
Real-world project scenarios
Collaboration and discussion of project solutions
• Course Review and Next Steps
Summary of key learning objectives
Career paths and further learning opportunities in AI
Q&A and course feedback session

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Taught by

Vivian Aranha

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Subjects

Programming