AWS Generative AI Certification - AIF-C01 Essentials

Introduction

Hey everyone, thank you so much for joining in and welcome to this live session on AWS Generative AI Certification (AIF-C01) Essentials. In this session, we'll demystify your preparation journey and outline how your preparation should look when gearing up for this AWS generative AI certification.

Recording and Resources

Before we proceed with today's agenda, I want to let you know that this session is being recorded. All the source codes, PowerPoint presentations, and additional links shared in this session will also be made available under the Manolia Learning Workshop. You can access these resources for free, including recordings of our previous workshops.

To access these resources, go to Manolia Learning, click on courses, and search for the Manolia Learning Workshop. Click on it and say "Access the workshops now for free" to get lifetime access to the recordings and materials.

Introduction to AWS Generative AI Certification

Let’s get started by providing an overview of the AWS Generative AI Certification. Here’s the essential information you need to know:

• Beta Registration Date: August 13, 2024
• Category: Foundation Level (easy to intermediate difficulty)
• Cost: $ 75 USD
• Examination Format: 85 questions

The certification is intended for anyone familiar but not necessarily building solutions using AI/ML technologies on AWS. This includes roles such as analysts, IT support, marketing professionals, product managers, IT managers, sales professionals, etc.

You have the option to take the exam at a testing center or via online proctored examination.

Examination Expectations and Learning Plan

AWS has specified several key topics that you need to be familiar with:

• Fundamental concepts around generative AI, machine learning, and deep learning.
• Definition and design considerations.
• Prompt engineering, model training, and responsible AI.

AWS offers a recommended learning plan structure, which includes:

1. Generative AI for Executives
2. Fundamentals of AI and Machine Learning
3. Use Cases and Applications
4. AWS Products for AI/ML
5. Building and Deploying Generative AI Solutions
6. Essentials of Prompt Engineering
7. Trustworthy AI and Evaluation

Understanding Generative AI

What is Generative AI?

Generative AI focuses on creating new content from existing training data. It involves recognizing patterns and structures in massive datasets and generating original outputs.

How it Works

Generative AI involves:

1. Pre-training: Training models on massive data sets to recognize patterns.
2. Generation: Generating content based on learned patterns.
3. Improvement: Iteratively improving the model using feedback.

Types of Generative AI Models

• GANs: Uses two neural networks to generate new content and judge its quality.
• VAEs: Learns the underlying probability distribution to generate new samples.
• Transformer Models: Widely used for text generation.
• Diffusion Models: Adds noise to data and learns to reverse the process for high-quality images.

Applications of Generative AI

• Art and Design
• Writing and Content Creation
• Music Composition
• Healthcare
• Code Generation

Transformer Model Architecture

Transformers have an encoder and decoder structure:

• Encoder: Processes input with multi-head attention and feed-forward networks.
• Decoder: Generates output based on processed input from the encoder.

Prompt Engineering

Prompt engineering involves designing and refining input prompts to communicate effectively with the AI model. Key techniques include:

• Clarity and specificity
• Context specification
• Iterative refinement
• Role assignment
• Multi-turn prompts
• Constraints and guidelines

AWS Generative AI Services

Amazon Bedrock

Amazon Bedrock is a fully managed service that allows you to build and scale generative AI applications using foundation models. It supports multiple famous models and provides seamless integration and deployment.

Amazon Q Business

Amazon Q Business is a generative AI-powered assistant for workplace tasks like answering questions, providing summaries, generating content, and securely completing tasks.

Structured Learning Path

To prepare for the certification, follow a structured learning path focusing on:

1. Fundamental concepts of machine learning and deep learning.
2. Implementing generative AI using AWS services.
3. Understanding natural language processing.
4. Essentials of prompt engineering.
5. Key AWS services like Bedrock and Q Business.
6. Responsible AI practices.

Course Offerings and Discounts

Manolia Learning offers a self-paced course for AWS Certified AI Practitioner, with additional resources like practice tests. Use the coupon code "WEBINAR" for a 10% discount on the course.

Keywords

• Generative AI
• AWS Certification
• Transformer Model
• Prompt Engineering
• Amazon Bedrock
• Responsible AI

FAQ

Q1: What is generative AI? A: Generative AI is a branch of AI focused on creating new content from existing training data by recognizing patterns and generating original outputs based on those patterns.

Q2: When does the beta registration for this certification start? A: Beta registration starts on August 13, 2024.

Q3: What is the cost of the AWS Generative AI Certification exam? A: The examination costs $ 75 USD.

Q4: How many questions will be on the exam? A: The exam will consist of 85 questions.

Q5: What roles are suited for this certification? A: The certification is suitable for roles like analysts, IT support, marketing professionals, product managers, IT managers, and sales professionals.

Q6: What is prompt engineering? A: Prompt engineering is the process of designing and refining input prompts to communicate effectively with the AI model, controlling the output effectively.

Q7: What is Amazon Bedrock? A: Amazon Bedrock is a fully managed service for building and scaling generative AI applications using foundation models.

Q8: How can I access the resources and recordings of this session? A: You can access all resources and recordings at Manolia Learning under the Manolia Learning Workshop course for free.

Q9: Are there any discounts available for the AWS Certified AI Practitioner course? A: Yes, use the coupon code "WEBINAR" for a 10% discount.

Q10: Do the Manolia Learning packages include future course updates? A: Yes, purchasing the Manolia Learning generative AI package ensures access to future course updates and new certifications without additional payment.