Algemene omschrijving
Generative AI (GenAI) is a broad label describing any type of artificial intelligence (AI) that can produce new text, images, video, or audio clips. Technically, this type of AI learns patterns from training data and generates new, unique outputs with the same statistical properties.
It includes the following collections:
- Fundamentals of Generative AI APIs for Practical Applications.
- Generative AI for Innovation and Business Value.
- Exploring the Capabilities of Google Generative AI APIs.
- Exploring Generative AI on Azure.
- Harnessing OpenAI APIs for Powerful Application Solutions.
- Enhancing Enterprise Security with Generative AI and Artificial Intelligence.
- Introduction to Prompt Engineering.
- Prompt Engineering for Version Control Using Git.
- Prompt Engineering for Data Analysis and Visualization.
- Prompt Engineering for Learning Python.
- Generative AI and Prompt Engineering for Ethical Hacking.
Doelgroep
This self-study package may appeal to:
- AI Engineers.
- Software developers.
- Data analysts.
- Cybersecurity professionals, especially ethical hackers.
Leerdoelen
This ultimate e-learning collection with more than 55 hours of learning, covers areas such as:
- AI APIs.
- ChatGPT.
- Azure OpenAI.
- Google Bard.
- Prompt Engineering.
- GenAI Chatbots.
Onderwerpen
Fundamentals of Generative AI APIs for Practical Applications
- Generative AI APIs for Practical Applications: An Introduction.
Generative AI for Innovation and Business Value
- 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.
Exploring the Capabilities of Google Generative AI APIs
- Google Generative AI APIs: Introduction to Google Bard.
- Google Generative AI APIs: Bard Fundamentals.
- Google Generative AI APIs: Bard & the PaLM API Fundamentals.
- Google Generative AI APIs: Advanced Features of Bard & PaLM.
Exploring Generative AI on Azure
- Introduction to Generative AI on Azure.
- Generative AI with Azure OpenAI.
Harnessing OpenAI APIs for Powerful Application Solutions
- OpenAI API: Introduction to the OpenAI API.
- OpenAI API: Text, Image, & Audio Generation with OpenAI.
- OpenAI API: Code, Relatedness, & Fine-tuning with OpenAI.
Enhancing Enterprise Security with Generative AI and Artificial Intelligence
- Artificial Intelligence, Generative AI, & Cybersecurity.
- Leveraging Generative AI with Common Security Tools.
Introduction to Prompt Engineering
- Getting Started with Prompt Engineering.
- Exploring the OpenAI Playground.
- Exploring Prompt Engineering Techniques.
- Case Studies in Prompt Engineering.
Prompt Engineering for Version Control Using Git
- Leveraging Prompt Engineering to Learn Git.
- Working with Remote Repositories & Generative AI.
- Using Prompt Engineering to Work with Git Branches.
Prompt Engineering for Data Analysis and Visualization
- 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
- Using Generative AI Tools to Learn Python.
- Prompt Engineering to Learn Python Loops & Functions.
- Leveraging Prompts for Python Classes, Scripts, & Data Analysis.
Generative AI and Prompt Engineering for Ethical Hacking
- 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.