Includes practice test + exercises! AWS AIF-C01 Certification Prep Course. Bedrock, SageMaker, AI Fundamentals, and more
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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.
Brkati Dzo
Passed the certification today, with the help of this course. Would recommend it!
Carla Jenkins
Frank’s course is more technical; and, that’s just what you need in order to pass the AI Practitioner… I passed using Frank’s course.
Siamak Heshmati
Thanks Frank for the great course! I passed the exam a few weeks ago 🙂
Nic Gumina
About half way through and this is easily the best material for this exam I have found.
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!
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.
Buy This Course
Lifetime access to all videos and materials for this course with a one-time payment.
Introduction
Get your Copy of the Slides and Study Guide
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AI and Machine Learning Fundamentals
Supervised Learning Techniques
Lesson 2 of 17 within section AI and Machine Learning Fundamentals.
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Evaluating Supervised Machine Learning with Train/Test and Cross Validation
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Unsupervised and Self-Supervised Learning; Reinforcement Learning
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The Bias / Variance Tradeoff
Lesson 5 of 17 within section AI and Machine Learning Fundamentals.
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A Taxonomy of Machine Learning Techniques
Lesson 6 of 17 within section AI and Machine Learning Fundamentals.
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Intro to Natural Language Processing (NLP)
Lesson 7 of 17 within section AI and Machine Learning Fundamentals.
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History of Deep Learning; How Neural Networks Work
Lesson 8 of 17 within section AI and Machine Learning Fundamentals.
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Training and Tuning Neural Networks
Lesson 9 of 17 within section AI and Machine Learning Fundamentals.
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Convolutional Neural Networks (CNNs)
Lesson 10 of 17 within section AI and Machine Learning Fundamentals.
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Recurrent Neural Networks (RNNs)
Lesson 11 of 17 within section AI and Machine Learning Fundamentals.
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The Transformer Architecture and Self-Attention: How Generative AI Works
Lesson 12 of 17 within section AI and Machine Learning Fundamentals.
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Transformers: Key Terms (temperature, context windows, max tokens, etc.)
Lesson 13 of 17 within section AI and Machine Learning Fundamentals.
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Generative Adversarial Networks (GANs)
Lesson 14 of 17 within section AI and Machine Learning Fundamentals.
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Lesson 15 of 17 within section AI and Machine Learning Fundamentals.
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Residual Neural Networks and WaveNet
Lesson 16 of 17 within section AI and Machine Learning Fundamentals.
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Quiz: AI and ML Fundamentals
Lesson 17 of 17 within section AI and Machine Learning Fundamentals.
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Machine Learning Design Principles and Use Cases
Machine Learning Design Principles and Lifecycle
Lesson 1 of 13 within section Machine Learning Design Principles and Use Cases.
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Business Goal Identification
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Framing the Machine Learning Problem
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Lesson 4 of 13 within section Machine Learning Design Principles and Use Cases.
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Model Development, Training, and Tuning
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Lesson 6 of 13 within section Machine Learning Design Principles and Use Cases.
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The AWS Well-Architected Machine Learning (ML) Lens
Lesson 8 of 13 within section Machine Learning Design Principles and Use Cases.
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Machine Learning Ops (MLOps)
Lesson 9 of 13 within section Machine Learning Design Principles and Use Cases.
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Lesson 10 of 13 within section Machine Learning Design Principles and Use Cases.
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Computer Vision Use Cases
Lesson 11 of 13 within section Machine Learning Design Principles and Use Cases.
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Lesson 12 of 13 within section Machine Learning Design Principles and Use Cases.
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Quiz: ML Design Principles and Use Cases
Lesson 13 of 13 within section Machine Learning Design Principles and Use Cases.
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Prompt Engineering
Benefits of Prompt Engineering
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Lesson 3 of 6 within section Prompt Engineering.
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Avoiding Prompt Mis-Use and Mitigating Bias
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Lesson 6 of 6 within section Prompt Engineering.
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AI and Machine Learning with Amazon SageMaker
Set up an AWS Billing Alarm
Lesson 1 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Overview of Amazon SageMaker
Lesson 2 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Data Processing, Training, and Deployment with SageMaker
Lesson 3 of 18 within section AI and Machine Learning with Amazon SageMaker.
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SageMaker Studio, SageMaker Debugger, SageMaker Experiments
Lesson 4 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Lesson 5 of 18 within section AI and Machine Learning with Amazon SageMaker.
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SageMaker Model Monitor and SageMaker Clarify
Lesson 6 of 18 within section AI and Machine Learning with Amazon SageMaker.
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SageMaker Deployment Safeguards (and other features)
Lesson 7 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Lesson 8 of 18 within section AI and Machine Learning with Amazon SageMaker.
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SageMaker Lineage Tracking
Lesson 9 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Lesson 10 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Lesson 11 of 18 within section AI and Machine Learning with Amazon SageMaker.
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DEMO: SageMaker Studio, SageMaker Canvas, SageMaker Data Wrangler
Lesson 12 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Linear Learner, XGBoost, Seq2Seq
Lesson 13 of 18 within section AI and Machine Learning with Amazon SageMaker.
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DeepAR, BlazingText, Obj2Vec, Object Detection
Lesson 14 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Image Classification, Semantic Segmentation, Random Cut Forest, NTM, LDA
Lesson 15 of 18 within section AI and Machine Learning with Amazon SageMaker.
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KNN, K-Means, PCA, Factorization Machines, IP Insights
Lesson 16 of 18 within section AI and Machine Learning with Amazon SageMaker.
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DEMO: Training and Inference with SageMaker and XGBoost
Lesson 17 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Lesson 18 of 18 within section AI and Machine Learning with Amazon SageMaker.
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Generative AI with AWS
Generative AI with Foundation Models and SageMaker JumpStart
Lesson 1 of 18 within section Generative AI with AWS.
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Introduction to Amazon Bedrock
Lesson 2 of 18 within section Generative AI with AWS.
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HANDS ON with the Bedrock Playground for Chat, Text, and Image Generation
Lesson 3 of 18 within section Generative AI with AWS.
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Fine-Tuning Foundation Models with Bedrock
Lesson 4 of 18 within section Generative AI with AWS.
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Lesson 7 of 18 within section Generative AI with AWS.
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HANDS ON with Bedrock Guardrails
Lesson 8 of 18 within section Generative AI with AWS.
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LLM Agents and Bedrock Agents
Lesson 9 of 18 within section Generative AI with AWS.
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HANDS ON with Bedrock Agents
Lesson 10 of 18 within section Generative AI with AWS.
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Lesson 11 of 18 within section Generative AI with AWS.
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Bedrock Model Invocation Logging
Lesson 12 of 18 within section Generative AI with AWS.
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Amazon Bedrock Pricing and Security
Lesson 13 of 18 within section Generative AI with AWS.
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Amazon Q Developer (formerly CodeWhisperer)
Lesson 14 of 18 within section Generative AI with AWS.
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Lesson 15 of 18 within section Generative AI with AWS.
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Amazon Q Apps and Pricing
Lesson 16 of 18 within section Generative AI with AWS.
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Amazon Quicksight and Quicksight Q
Lesson 17 of 18 within section Generative AI with AWS.
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Quiz: Generative AI with AWS
Lesson 18 of 18 within section Generative AI with AWS.
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High-Level AWS AI Services
Lesson 1 of 10 within section High-Level AWS AI Services.
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Lesson 2 of 10 within section High-Level AWS AI Services.
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Lesson 3 of 10 within section High-Level AWS AI Services.
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Lesson 4 of 10 within section High-Level AWS AI Services.
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Lesson 5 of 10 within section High-Level AWS AI Services.
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Lesson 6 of 10 within section High-Level AWS AI Services.
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Lesson 7 of 10 within section High-Level AWS AI Services.
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Lesson 8 of 10 within section High-Level AWS AI Services.
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Additional AI and ML Services
Lesson 9 of 10 within section High-Level AWS AI Services.
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Quiz: High-Level AI Services
Lesson 10 of 10 within section High-Level AWS AI Services.
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Training, Tuning, and Measuring your Models
Fine-Tuning Foundation Models
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Preparing Data for Fine Tuning
Lesson 3 of 10 within section Training, Tuning, and Measuring your Models.
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Evaluation Techniques for Foundation Models
Lesson 4 of 10 within section Training, Tuning, and Measuring your Models.
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ROUGE, BLEU, and BERTscore metrics for LLM’s
Lesson 5 of 10 within section Training, Tuning, and Measuring your Models.
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Choosing a Generative AI Evaluation Strategy
Lesson 6 of 10 within section Training, Tuning, and Measuring your Models.
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Machine Learning Model Evaluation: Precision, Recall, F1, RMSE
Lesson 7 of 10 within section Training, Tuning, and Measuring your Models.
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ROC Curves, AUC, P-R Curves
Lesson 8 of 10 within section Training, Tuning, and Measuring your Models.
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Measuring Regression Models (r-squared, RMSE, MAE)
Lesson 9 of 10 within section Training, Tuning, and Measuring your Models.
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Quiz: Training, Tuning, and Measuring your Models
Lesson 10 of 10 within section Training, Tuning, and Measuring your Models.
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Responsible AI, AI Governance, and AI Security
Dimensions of Responsible AI, and AWS Tools for Responsible AI
Lesson 1 of 17 within section Responsible AI, AI Governance, and AI Security.
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Best Practices for Responsible AI
Lesson 2 of 17 within section Responsible AI, AI Governance, and AI Security.
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SageMaker Clarify Metrics and Techniques
Lesson 3 of 17 within section Responsible AI, AI Governance, and AI Security.
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AI Governance and Service Cards
Lesson 4 of 17 within section Responsible AI, AI Governance, and AI Security.
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Responsible Model Selection; Responsible Agency
Lesson 5 of 17 within section Responsible AI, AI Governance, and AI Security.
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Responsible Dataset Preparation
Lesson 6 of 17 within section Responsible AI, AI Governance, and AI Security.
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Transparency of AI Models
Lesson 7 of 17 within section Responsible AI, AI Governance, and AI Security.
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AI and Human-Centered Design (HCD)
Lesson 8 of 17 within section Responsible AI, AI Governance, and AI Security.
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Additional AI Security Services
Lesson 10 of 17 within section Responsible AI, AI Governance, and AI Security.
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Security in Data Engineering
Lesson 11 of 17 within section Responsible AI, AI Governance, and AI Security.
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AWS Shared Responsibility Model
Lesson 12 of 17 within section Responsible AI, AI Governance, and AI Security.
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Lesson 13 of 17 within section Responsible AI, AI Governance, and AI Security.
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Lesson 14 of 17 within section Responsible AI, AI Governance, and AI Security.
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AWS AI Governance Services
Lesson 15 of 17 within section Responsible AI, AI Governance, and AI Security.
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The Generative AI Security Scoping Matrix
Lesson 16 of 17 within section Responsible AI, AI Governance, and AI Security.
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Quiz: Responsible AI, Security, and Governance
Lesson 17 of 17 within section Responsible AI, AI Governance, and AI Security.
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Practice Exam
Practice Test (20 questions) for AWS Certified AI Practitioner AIF-C01
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Wrapping Up
What to Expect: Exam Tips and Preparation
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Overview of the Exam Guide
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The New Question Types: Ordering, Matching, and Case Study
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