Mastering AWS Certified AI Practitioner AIF-C01 - Hands On!
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
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 one million 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
Udemy Certificate of Completion Ready for Download
A 30 Day "No Questions Asked" Money Back Guarantee!
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!
Who this course is for:
- Technologists seeking certification in artificial intelligence and machine learning technologies on Amazon Web Services
- The AIF-C01 exam is aimed at a wide variety of roles, including sales and marketing, project managers, product managers, managers, and more - it's not just for developers.
Instructors
- 4.6 Instructor Rating
- 175,612 Reviews
- 1,003,474 Students
- 36 Courses
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 26 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
- 4.6 Instructor Rating
- 164,478 Reviews
- 942,198 Students
- 27 Courses
Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.
Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.