Mastering AI on AWS: Training AWS Certified AI-Practitioner

Overview

Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success(AI)

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

Taught by

Vivian Aranha

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