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The evolving world of artificial intelligence (AI) brings both opportunities and risks. To protect assets, organizations must understand how to secure their AI systems. This in-depth course delves into the AI security landscape, addressing vulnerabilities like prompt injection, denial of service attacks, model theft, and more. Learn how attackers exploit these weaknesses and gain hands-on experience with proven defense strategies and security APIs. Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction. By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.

The course is a three-day program designed to introduce software developers to the world of AI-enhanced development. It centers around AI assistants, especially GitHub Copilot, and integrating AI into software applications. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging. The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. It also provides a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. An understanding of various cloud providers and their AI offerings is explored, enabling informed decisions about tool and platform selection. Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.

Embark on an exciting journey to explore the potential of AI in everyday work with our comprehensive AI Fundamentals course. This immersive two-day training program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes. Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies. The course also brings to light various AI tools, their applications, and their impact on everyday life. Our goal is to empower you with the knowledge and skills to navigate the rapidly evolving AI ecosystem effectively and confidently. Join us to unravel the mysteries of AI and discover its transformative potential.

Elevate your career with a final certification by Microsoft and Founderz Business School. Master industry-defining skills and the latest AI tools with our AI & Innovation program. What you will learn - History and Fundamentals of Artificial Intelligence - Prompt Engineering and professional use of ChatGPT - Creation of your own GPTs - Responsible AI: Ethical implications and regulations in AI - Generative AI for the creation of Audiovisual Elements: Images, Video and Music - Productivity with Copilot and business transformation - Creation of dashboards and data analysis with PowerPlatform - Development of chatbots and virtual assistants with no-code - Real-world AI applications in: Marketing, HR, Health & Education Methodology - 5-to-15 minute microlessons - Hands-on assignments to apply learnings (no exams!) - Collaborative community of peers - Weekly Live sessions and Q&A

Get the resources you need to access Azure OpenAI's powerful large language model to enable various natural processing solutions to understand, converse, and generate content for your business. Complete the learn modules and read the articles in this Microsoft Learn Official Collection then share with your network to grow your capabilities with Azure OpenAI.

Discover tools for building and running your own models from your own data, while developing your machine learning skills through the resources in this Microsoft Learn Official Collection.

Discover a range of tools to help you build AI-powered apps with Azure AI Services, develop generative AI solutions with Azure OpenAI Services, and explore chatbots and AI models with Microsoft Copilot Studio through this Microsoft Learn Official Collection.

Learn about many areas of AI, including machine learning, computer vision, natural language processing, and conversational AI. This content helps prepare for Exam AI-900, required to earn the Azure AI Fundamentals certification. Content updated: November 2023.

ind out how to use AI every day to streamline your work with GitHub Copilot. Watch videos and work through a learning path, as you get an introduction, explore the fundamentals, and learn about GitHub Copilot and GitHub Copilot for Visual Studio. This content is recommended for developers.

Get all the details on Copilot for Microsoft 365, its functionality, and the Microsoft goal of implementing AI responsibly and ethically. Learn the purpose and functionalities of Copilot for Microsoft 365, the working principles behind it, and its core components.

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to complete. Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed. In this module you will learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.

What you'll learn ✔️Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists ✔️Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio ✔️Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems ✔️Write SQL statements and query Cloud databases using Python from Jupyter notebooks Advance your subject-matter expertise ✔️Learn in-demand skills from university and industry experts ✔️Master a subject or tool with hands-on projects ✔️Develop a deep understanding of key concepts ✔️Earn a career certificate from IBM