SAT Certified Practitioner Exam Prep

Overview

The SAT Certified Practitioner certification is designed for individuals seeking to understand foundational concepts in artificial intelligence (AI) and machine learning (ML) and how they can be applied using Amazon Web Services (AWS). This certification is particularly useful for those who are not necessarily involved in the technical aspects of AI and ML but need to have a clear understanding of these technologies to effectively communicate with stakeholders, support teams, or make informed business decisions.

Syllabus

• Introduction to AI and Machine Learning
Overview of AI and ML concepts
Differences between AI, ML, and deep learning
Historical perspectives and future trends
• Understanding the AI/ML Landscape in AWS
Introduction to AWS AI/ML services
Key AWS tools for AI/ML: SageMaker, Rekognition, Lex, Polly
• Fundamental AI and ML Concepts
Supervised vs. unsupervised learning
Key algorithms: regression, classification, clustering
Data preprocessing and feature engineering
• Practical Applications of AI and ML
Use cases of AI/ML in various industries
Case studies of successful AI/ML projects on AWS
• Bridging AI/ML with Business Strategy
Aligning AI/ML initiatives with business objectives
Identifying opportunities for AI/ML in business processes
• Building AI/ML Solutions on AWS
Basic workflow of deploying ML models in AWS
Introduction to AWS SageMaker Studio
• Security and Ethics in AI/ML
Ethical considerations in AI and ML development
Data privacy and security best practices in AWS
• Communicating AI/ML Concepts Effectively
Strategies for communicating technical concepts to non-technical stakeholders
Collaboration between technical and non-technical teams
• Preparing for the SAT Certified Practitioner Exam
Study tips and resources
Sample exam questions and practice tests
• Review and Q&A
Recap of key concepts
Open session for questions and clarifications

---

Taught by

Rasool Shaik

---

Subjects

Programming