AWS Certified AI Practitioner (AIF-C01) eLearning
De AWS AI Practitioner (AIF-C01) training biedt een basiskennis van kunstmatige intelligentie (AI) en machine learning (ML), inclusief de toepassingen binnen AWS-diensten zoals Amazon SageMaker en Amazon Bedrock. Cursisten leren over fundamentele AI/ML-concepten, generatieve AI, verantwoord gebruik van AI, en het bouwen van AI-oplossingen met foundation models. De cursus bevat 12 maanden online toegang, uren aan e-learning, en een oefenexamen met 150 vragen. Na afronding kunnen deelnemers optioneel het officiële Microsoft AIF-C01 examen afleggen. Er zijn geen toelatingseisen, en de opleiding is bedoeld voor alle professionals die met AWS werken.
Overview
COURSE DESCRIPTION
The AWS AI Practitioner (AIF-C01) certificate is one of the latest additions to the AWS certifications shelf. It is designed for individuals looking to build foundational knowledge of artificial intelligence (AI) and machine learning (ML).
You’ll learn the key AI and ML concepts, AWS AI/ML services, responsible AI practices, and practical applications of foundation models. You’ll also gain hands-on experience with AWS services such as Amazon SageMaker and Amazon Bedrock and NLP services like Amazon Comprehend, and Rekognition.
- 12 Months Online Access
- 6+ hours of eLearning
- Measure-Up Exam simulation – 150 questions
- Tips & Tricks
CERTIFICATION
This course prepares participants for the official Microsoft AIF-C01 exam, which can be taken separately after completing the training. This exam is optional and can be ordered separately with the training course.
LEARNING OUTCOMES
- Fundamentals of AI and ML
- Fundamentals of Generative AI
- Applications of Foundation Models
- Guidelines for Responsible AI
- Security, Compliance, and Governance for AI Solutions
TARGET AUDIENCE
This course is intended for all professionals working with AWS.
CONTENT
- Basic AI Concepts and Terminologies
- Practical Use Cases for AI
- The ML Development Lifecycle
- ML Operations (MLOps)
- Basic Concepts of Generative AI
- Capabilities and Limitations of Generative AI
- Building Generative AI Applications with AWS
- Design Factors for Applications Using Foundation Models
- Effective Prompt Engineering Techniques
- Training, Fine-Tuning, and Evaluating Foundation Models
- Guidelines for Responsible AI
- Security, Compliance, and Governance for AI Solutions
PREREQUISITES
None