Training Path - AI

Learners gain hands on experience using Azure Cognitive Services, Azure Machine Learning, and Azure OpenAI related concepts in a guided, practical environment.

The Artificial Intelligence Essentials (AI|E) is a nontechnical, foundational AI certification designed to establish a global baseline of AI literacy.

This program is designed for professionals across security, IT, and business functions who want to lead AI initiatives

Certified Chief Information Security Officer (C|CISO) is executive-focused, designed specifically to train and certify leaders who are responsible for developing and leading an organization’s cybersecurity strategy.

C|OASP is a hands-on, practitioner-level credential that validates your ability to ethically attack AI systems so you can defend them with engineering-grade controls.

The AI-3025: Work Smarter with AI course equips students with essential skills and knowledge to integrate AI technologies into their workflows, enhancing productivity and decision-making through practical applications and tools.

By the end of the course, participants will be able to design, develop, and publish sophisticated reports and dashboards that efficiently convey information and facilitate decision-making.

The MS-4002 course focuses on preparing security and compliance in the context of Microsoft 365 Copilot, equipping students with essential skills to manage data protection, privacy, and compliance effectively within the Microsoft 365 environment.

You will be able to design, build, and implement automated workflows with Power Automate. Key skills include creating cloud flows, handling triggers and actions, managing flow execution, error handling, and optimizing flow performance.

This presentation explores the multifaceted world of Artificial Intelligence (AI)

Students perform a series of hands-on exercises involving seven Use Cases - Executives, Sales, Marketing, Finance, IT, HR, and Operations. These exercises focus on using Copilot in various Microsoft 365 apps (such as Word, PowerPoint, Outlook, and so on) to complete a series of common business-related tasks pertaining to each Use Case.

The AI-3002 course showcases expertise in implementing solutions that can analyze, interpret, and manipulate documents using Azure AI services. It is designed for professionals skilled in Azure Cognitive Services, specifically Form Recognizer and other Azure AI tools that extract insights from documents. Industries leverage this certification to ensure their workforce can automate the processing of various document types, enhance data accuracy, and derive actionable insights.

By utilizing Azure AI, businesses can improve user engagement, automate customer service, and gain a competitive edge through advanced data analysis and AI-driven decision-making processes.

This course would cover concepts such as Analyzing images and videos for insights, automating image-processing tasks, and building and deploying vision-based AI models. It showcases a practical understanding of Azure's computer vision tools and how to apply them to solve real-world problems.

Participants will learn to configure and utilize AI Skills in Azure AI Search, focusing on the management of search indexes and implementing AI-driven enhancements like image analysis and natural language processing.

This course focuses on leveraging Microsoft 365 Copilot to effectively create, analyze, and showcase content.

Attendees will work on real-world projects, ensuring they can apply what they learn to develop and manage AI projects within Azure AI Studio.

In this course, you will explore key concepts such as natural language processing, machine learning, and bot development, which are essential for building AI-driven applications.

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

The course also covers best practices for building high-quality plugins and connectors, as well as data, privacy, and security considerations.