AWS AI Practitioner

Overview

The AWS Certified AI Practitioner Specialization is meant for those who desire to establish a solid base in Artificial Intelligence (AI) and Machine Learning (ML) and have the ability to utilize AWS cloud services. This specialization is aligned with the AWS AI Practitioner Certification exam and offers a broad understanding of AI concepts, generative AI, foundation models, responsible AI practices, and AI security.

The specialization follows a structured approach to enable learners to design, implement, and optimize AI-powered solutions on AWS. The AWS AI practitioner training specialization covers key AI topics such as machine learning models, Natural Language Processing (NLP), computer vision, deep learning, and AI model deployment.

Learners will also explore AWS AI services, including Amazon Bedrock, Amazon SageMaker, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition, among others. Through engaging videos, examples, hands-on demos, and feedback-driven quizzes, this specialization ensures practical application and readiness for the AI Practitioner AWS certification exam.

Syllabus

• Introduction to AI and ML Concepts
Understanding AI and ML
Overview of AI Applications
Generative AI and Foundation Models
• AWS AI Services Overview
Introduction to Amazon Web Services (AWS)
Overview of AWS AI Tools
• Machine Learning on AWS
Building and Training ML Models with Amazon SageMaker
Implementing ML Workflows
• Natural Language Processing (NLP) on AWS
Introduction to NLP Concepts
Using Amazon Comprehend for Text Analysis
Speech Recognition with Amazon Transcribe
• Computer Vision on AWS
Introduction to Computer Vision
Image and Video Analysis with Amazon Rekognition
• Deep Learning Foundations
Core Concepts of Deep Learning
Implementing Deep Learning Models on AWS
• AI Model Deployment and Optimization
Deploying Models using Amazon SageMaker
Optimizing Model Performance
• Responsible AI Practices
Ethical Considerations in AI
Fairness, Accountability, and Transparency in AI Models
• AI Security
Securing AI Models and Data
Best Practices for AI Security on AWS
• Exploring Amazon Bedrock
Overview of Generative AI on AWS
Use Cases and Implementation
• Hands-on Demonstrations and Case Studies
Real-world AI Solutions on AWS
Practical Labs and Project Work
• Exam Preparation for AWS Certified AI Practitioner
Exam Format and Sample Questions
Study Tips and Resources
• Conclusion and Next Steps
Bridging to Advanced AI Topics
Career Opportunities in AI and Cloud Computing

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Taught by

LearnKartS

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Subjects

Programming