Generative AI (GenAI) The Ultimate E-learning Collection

Generative AI: The Ultimate E-learning Collection provides a comprehensive set of e-learning modules that help learners understand and apply the most important areas of Generative AI. Generative AI is a broad type of artificial intelligence that can produce new text, images, video or audio by learning patterns from training data and generating new outputs with similar statistical properties.

Demo Generative AI (GenAI) The Ultimate E-Learning Collection

This collection covers topics such as GenAI, Azure OpenAI, Google Gemini, Prompt Engineering, Large Language Models, automation, ethical hacking and much more. It is suitable for professionals who want to apply Generative AI in business, IT, data analysis, software development, automation and cybersecurity.

You will learn not only the foundations of Generative AI, but also how to use AI tools for innovation, business value, prompt engineering, data analysis, Python, SQL databases, Git, Azure OpenAI solutions, LLM deployment, IT automation and ethical hacking.

What will you learn?

• Understand the fundamentals of Generative AI
• Work with generative models such as autoencoders, variational autoencoders and generative adversarial networks
• Understand and apply Large Language Models
• Use Generative AI for innovation and business value
• Work with Google Gemini and Gemini Flash
• Develop GenAI solutions with Azure OpenAI Service
• Apply prompt engineering techniques
• Use prompts for data analysis and visualization
• Apply prompt engineering for Python, SQL and Git
• Use Generative AI for IT automation
• Understand LLM deployment, API access, rate limits and LLMOps
• Apply Generative AI in ethical hacking scenarios

Who should attend?

This e-learning collection is suitable for:

• IT professionals
• AI professionals
• Data analysts
• Business analysts
• Software developers
• Cloud professionals
• Security professionals
• Ethical hackers
• Innovation managers
• Business professionals who want to understand Generative AI
• Teams that want to apply AI in daily workflows

E-learning collection content

This collection includes the following e-learning modules:

• Generative AI Overview
• Generative AI for Innovation and Business Value
• Google Gemini
• GenAI Solutions with Azure OpenAI Service
• LLM Deployment with Generative AI
• IT Automation with Generative AI
• Introduction to Prompt Engineering
• Prompt Engineering for Version Control Using Git
• Prompt Engineering for Data Analysis and Visualization
• Prompt Engineering for Learning Python
• Prompt Engineering for Querying SQL Databases
• Generative AI and Prompt Engineering for Ethical Hacking

Generative AI Overview

In this section, you will learn the foundations of Generative AI and explore generative AI models.

Courses:

• An Introduction to Generative AI
• Generative AI Models: Getting Started with Autoencoders
• AI Models: Generating Data Using Variational Autoencoders
• AI Models: Generating Data Using Generative Adversarial Networks

Generative AI for Innovation and Business Value

This section focuses on the business value of Generative AI and how AI can support innovation.

Courses:

• An Introduction to Generative AI Concepts
• Generative Modeling Foundations
• Getting Started with Large Language Models (LLMs)
• Exploring the Depths of Large Language Models in Generative AI
• Leveraging Generative AI for Business

Google Gemini

In this section, you will learn about Google Gemini and how Gemini can be used for everyday tasks and technical teams.

Courses:

• Understanding Gemini – A Primer for All
• Gemini for Everyday Tasks and for Technical Teams
• Technical Architecture of Gemini
• Instant Intelligence with Gemini Flash

GenAI Solutions with Azure OpenAI Service

This section focuses on developing GenAI solutions with Azure OpenAI Service and Microsoft Foundry.

Courses:

• Using Microsoft Foundry to Access Azure AI Services
• Chat and Reasoning Models in Foundry Playgrounds
• Chat Interactions with the Responses API
• Code Interpreter and Multimodal Inputs
• Function Calling, Structured Outputs and Prompt Optimizations
• Vision Analysis, Image Generation, & Batch Processing
• Building Retrieval-Augmented Generation Systems

LLM Deployment with Generative AI

In this section, you will learn how Large Language Models are used, managed and deployed.

Courses:

• Introducing Generative AI and LLMs
• Playground and API-Based Access to LLMs
• LLM Rate Limits, Optimization Techniques, and Customization
• Security Considerations and Tool Integration for LLMs
• Agentic Workflows Using the OpenAI Agent Builder
• MLOps, LLMOps, and Automation in ML Pipelines

IT Automation with Generative AI

This section shows how Generative AI can be used for IT integration, automation and AI-powered IT solutions.

Courses:

• IT Integration with Generative AI
• Advanced Generative AI Techniques for IT
• Ethical & Responsible Use of AI in IT
• AI in IT Automation: Integrating AI Automation in IT Operations
• AI in IT Automation: Developing AI-powered IT Solutions

Introduction to Prompt Engineering

In this section, you will learn the basics of prompt engineering and discover how prompts can be built and tested effectively.

Courses:

• Getting Started with Prompt Engineering
• Exploring the OpenAI Playground
• Exploring Prompt Engineering Techniques
• Case Studies in Prompt Engineering

Prompt Engineering for Data Analysis and Visualization

This section focuses on using prompts for data analysis, data manipulation, filtering, grouping and visualization.

Courses:

• Leveraging Prompts When Working with Data
• Basic Data Manipulation Using Generative AI
• Leveraging Prompts for Filtering & Grouping Data
• Combining & Visualizing Data Using Generative AI

Prompt Engineering for Learning Python

In this section, you will learn how Generative AI tools can support Python learning.

Courses:

• Using Generative AI Tools to Learn Python
• Prompt Engineering to Learn Python Loops & Functions
• Leveraging Prompts for Python Classes, Scripts, & Data Analysis

Prompt Engineering for Querying SQL Databases

This section covers the use of prompt engineering for SQL and database queries.

Courses:

• Learning SQL Using Prompt Engineering
• Using Generative AI Tools to Filter & Group Data
• Prompt Engineering to Work with Advanced SQL Operations

Prompt Engineering for Version Control Using Git

In this section, you will learn how to better understand and apply Git using prompt engineering.

Courses:

• Leveraging Prompt Engineering to Learn Git
• Working with Remote Repositories & Generative AI
• Using Prompt Engineering to Work with Git Branches

Generative AI and Prompt Engineering for Ethical Hacking

This section covers the use of Generative AI and prompt engineering in ethical hacking.

Courses:

• Ethical Hacking & Generative AI Fusion
• Generative AI for Reconnaissance
• Generative AI for Scanning & Enumeration
• Generative AI for System Hacking
• Generative AI for Malware & Social Engineering
• GenAI’s Impact on Network & Perimeter Ethical Hacking
• Web Application & Database Hacking in the Age of GenAI
• Cloud Computing & IoT Hacking in the Era of GenAI
• Mobile Platform Security in the GenAI Era
• Covering Tracks with GenAI