Mastering AWS Certified AI Practitioner AIF-C01 – Hands On!

Includes practice test + exercises! AWS AIF-C01 Certification Prep Course. Bedrock, SageMaker, AI Fundamentals, and more

(Also available on Udemy)

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 / AI1-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.

You’ll be fully prepared for the exam with an included 20-question practice test and 80 quiz questions in the style of AWS exams. You’ll also get a PDF copy of the course slides and a PDF study guide to further help you prepare for the exam.

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 who passed the real exam, with real human experience in building AI applications in a professional setting.

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Instructor

Hey, I’m Frank Kane. I have successfully passed the AIF-C01 exam myself, and have ensured this course contains everything you need to know. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, and I’m best known for my top-selling courses in “big data”, data analytics, machine learning, AI, Apache Spark, system design, and Elasticsearch. I’ve been awarded 26 issued patents in the field of machine learning.

I’ve been teaching on Udemy since 2015, where I’ve reached over 900,000 students all around the world!

I’ve worked hard to keep this course up to date with the latest developments in AWS’s machine learning and artificial intelligence technologies, and to make sure you’re prepared for the latest version of this exam. Let’s dive in and get you ready!

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This course also comes with:

• Lifetime access to all future updates
• 9+ hours of video training
• Course slides and study guide in PDF form
• 80 quiz questions to assess your readiness
• A responsive instructor in the Q&A Section

Join us in this course if you want to pass the AWS Certified AI Practitioner exam and master the world of AI and machine learning on the AWS platform!

Course Instructor

Frank Kane Author

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.