What You'll Learn
- Learn core concepts including Machine Learning, Deep Learning, LLMs, embeddings, tokens, and real-world AI use cases.
- Learn how to use Amazon Bedrock, SageMaker, Rekognition, Comprehend, Lex, and Polly to create real AI applications.
- Design serverless AI systems, scalable ML pipelines, and event-driven AI workflows used in production environments.
- Create effective prompts, use few-shot techniques, and understand how to work with foundation models and LLMs.
- Learn about AI bias, fairness, governance, and model safety to build ethical and trustworthy AI systems.
- Understand the exam format, key domains, architecture questions, and strategies to succeed on your first attempt.
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- This course is designed for beginners and professionals who want to understand and work with Artificial Intelligence on AWS without needing deep technical or coding experience.
- It is ideal for students and beginners who want to start a career in AI, Machine Learning, or Cloud Computing and need a structured, step-by-step learning path.
- It is also perfect for data analysts, software engineers, and IT professionals who want to expand their skills into Generative AI and AWS AI services and learn how modern AI systems are built and deployed.
- Additionally, this course is highly valuable for business professionals, product managers, and decision-makers who want to understand how AI works in real-world systems and how to leverage AI solutions on AWS for business use cases.
- Finally, this course is for anyone preparing for the AWS AI Practitioner certification and looking for a clear, practical, and exam-focused learning experience.
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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