Mastering AWS Certified AI Practitioner AIF-C01 - Hands On!

Übersicht

Get certified by Amazon for your knowledge of artificial intelligence and machine learning! It's hard to imagine a certification that would carry more weight in today's era of generative AI.

Lehrplan

• Introduction to AWS Certified AI Practitioner
Overview of the AIF-C01 Certification
Exam Preparation Tips
Study Resources and Materials
• Fundamentals of AI and Machine Learning
Definitions and Core Concepts
Types of Machine Learning
Key Algorithms and Frameworks
• AWS AI and ML Services Overview
Introduction to AWS AI Services
Understanding AWS Machine Learning Services
Key Features and Use Cases
• Data Preparation and Feature Engineering
Data Collection and Cleaning
Feature Selection and Transformation
Tools for Data Preparation on AWS
• Building AI Models on AWS
AWS SageMaker Overview
Model Training, Tuning, and Deployment
Working with SageMaker Built-in Algorithms
• Implementing Computer Vision on AWS
AWS Rekognition: Image and Video Analysis
Developing and Deploying Image Classification Models
• Natural Language Processing (NLP) with AWS
AWS Comprehend: Text Analysis and Entity Recognition
Language Translation and Sentiment Analysis
• Speech Recognition and Synthesis
AWS Transcribe: Automatic Speech Recognition
AWS Polly: Text-to-Speech Services
• AI Ethics and Responsible AI Practices
Understanding AI Ethics
Implementing Responsible AI on AWS
Bias Detection and Mitigation
• Practical Hands-On Labs
Data Preparation and Feature Engineering Lab
Building and Deploying ML Models with SageMaker
Using AWS AI Services for Real-World Applications
• Mock Exams and Practice Tests
Sample Test Questions
Exam Simulation and Review
• Final Review and Exam Strategies
Key Concepts Recap
Time Management Tips
Exam Day Checklist
• Certification Exam Booking and Next Steps
How to Register for the Exam
Post-Certification Opportunities and Continuing Education

---

Unterrichtet von

Sundog Education by Frank Kane and Frank Kane

---

Fachgebiete

Programming