AWS Certified AI Practitioner
Description
Comprehensive proficiency pathway for mastering artificial intelligence and machine learning concepts, generative AI technologies, foundation models, responsible AI practices, and AWS AI services required to excel in AI-driven roles and pass the AWS AI Practitioner certification.
Learning Objectives
Upon completion of this proficiency pathway, learners will demonstrate comprehensive understanding of artificial intelligence and machine learning fundamentals, generative AI concepts and applications, foundation model architecture and customization, prompt engineering techniques, responsible AI practices, and AWS AI services ecosystem. They will be proficient in identifying appropriate AI use cases, designing AI solutions using AWS services, implementing security and compliance measures, and applying ethical AI principles. Learners will confidently pass the AWS Certified AI Practitioner (AIF-C01) exam and excel in AI-related business and technical roles.
Courses in this Bundle (12)
AWS AI Services - Vision and Document Processing
Comprehensive understanding of AWS computer vision and document processing services including Amazon Rekognition, Textract, and related services for i...
Foundation Models and Customization
Comprehensive understanding of foundation model architectures, customization techniques including fine-tuning, prompt engineering, and model optimizat...
AWS AI Services - Language and Speech
Comprehensive mastery of AWS natural language processing and speech AI services including Amazon Comprehend, Transcribe, Polly, Translate, and Lex for...
Amazon Bedrock and Foundation Models
Comprehensive mastery of Amazon Bedrock service for accessing, deploying, and managing foundation models from leading AI providers including Amazon Ti...
Prompt Engineering and Advanced AI Techniques
Advanced prompt engineering techniques, model interaction strategies, chain-of-thought reasoning, and sophisticated AI application development methods...
Security, Compliance, and Governance for AI
Comprehensive understanding of security frameworks, compliance requirements, and governance structures for AI systems including data protection, acces...
Generative AI and Large Language Models
Comprehensive understanding of generative artificial intelligence, large language models, transformer architectures, and generative AI applications ac...
Amazon SageMaker for AI/ML Development
Comprehensive understanding of Amazon SageMaker platform for building, training, and deploying machine learning and AI models with integrated developm...
Fundamentals of Artificial Intelligence and Machine Learning
Comprehensive introduction to artificial intelligence and machine learning concepts, terminology, types, and applications to establish foundational un...
Key Terminology, Exam Details, and Resources
Essential AI and ML terminology, AWS AI Practitioner exam structure and requirements, study resources, and professional development pathways for AI pr...
Responsible AI and Ethics
Comprehensive understanding of responsible artificial intelligence principles, ethical considerations, bias mitigation, fairness, transparency, accoun...
AI Use Cases and Business Applications
Comprehensive understanding of AI applications across industries, business value identification, use case development, implementation strategies, and ...