AWS Certified AI Practitioner AIF-C01 - Hands On, In Depth!

AWS AIF-C01 Certification Prep Course with Demos, Activities, and Quizzes. Bedrock, SageMaker, AI Fundamentals, and more


What you'll learn
What to Expect on the AWS Certified AI Practitioner AIF-C01 Exam
Artificial Intelligence, Generative AI, and Machine Learning fundamentals
Machine Learning design principles
Use cases for AI, Generative AI (GenAI) and Machine Learning
Building Machine Learning systems and MLOps with SageMaker
Building Generative AI systems with Amazon Bedrock
Amazon Q Business and Q Developer
Model training and fine-tuning techniques with AWS
Evaluating and measuring your machine learning models
Responsible AI, security, and governance

Requirements
You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees.
You should have some basic familiarity with AWS and AI, but no development or programming experience is assumed.

Description
EARLY ACCESS! This course will be updated as more information about the exam is released by Amazon.
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.
The
AWS Certified AI Practitioner (AIF-C01)
exam isn't just for developers - it's aimed at a wide variety of roles in the technology space. Whether you're a PM, manager, sales or marketing professional, or developer - the concepts behind artificial intelligence, GenAI, and machine learning (ML) aren't as hard as you think. This course starts with the basics, explaining things in plain English and with simple examples.
No coding required!
We will go deep for those who want it, though.
Hands-on activities
will give you practice in building a custom chatbot using Amazon Bedrock and Knowledge Bases, building Guardrails for AI safety, and building a fully-fledged LLM agent armed with tools to extend an AI application - all just using the AWS console on the web. And demo videos walk you through training and using machine learning models using Amazon SageMaker.
Unlike other AWS certifications, there is a big business focus on this one. In addition to how the tech works, we'll also review best practices for the entire AI and machine learning lifecycle, the dimensions of "responsible AI," and best practices for security and governance with AI.
Some topics we'll cover include:
Fundamental concepts and terminologies of AI, ML, and Generative AI
How deep learning and large language models (LLM's) work
Evaluating and measuring AI models
Machine learning design principles
Machine learning operations (MLOps)
Use cases of AI, ML, and GenAI
Prompt engineering
Building machine learning pipelines with SageMaker
Common machine learning algorithms
Building generative AI applications with Amazon Bedrock
Retrieval Augmented Generation (RAG)
LLM Agents
Amazon Q Business, Q Developer, and Q Apps
High-level AWS AI and machine learning services
Model training and fine-tuning techniques
Responsible AI
AI Governance and Security
Although this is a course about AI, it is
not AI-generated!
You'll learn from a real human instructor, with real human experience in building AI applications in a professional setting.
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