a smol course
Hugging Face · AI and machine learning
Relevant for: Audience not specified
This smollest course on post-training AI models
AI and machine learning courses, collected from official learning catalogs.
Hugging Face · AI and machine learning
Relevant for: Audience not specified
This smollest course on post-training AI models
DeepLearning.AI · AI and machine learning
Relevant for: Audience not specified
Build a multi-agent system that plans, designs, and constructs a knowledge graph.
Hugging Face · AI and machine learning
Relevant for: Audience not specified
Learn to build and deploy your own AI agents
Microsoft Learn · AI and machine learning
Relevant for: Developer, Security
Learn about the AI Center of Excellence (AI CoE), how it centralizes information about AI adoption, operations, governance, best practices, and security.
DeepLearning.AI · AI and machine learning
Relevant for: Audience not specified
AI can write more code than any team can review by hand. In this hands-on course with Qodo, you'll learn how to make AI code review effective, from running reviews early to giving the reviewer the right context. Then you'll build your own review agent and see why context is what makes a review reliable.
DeepLearning.AI · AI and machine learning
Relevant for: Audience not specified
Learn to take control of your AI coding workflow. Starting from a Claude Code baseline, you'll structure work for smaller models, switch coding agents, connect to different models and providers, and progress from cloud to hybrid and fully local workflows. Along the way, you'll evaluate tradeoffs in cost, speed, and usage metrics.
Microsoft Learn · artificial-intelligence
Relevant for: Developer
Learn core AI concepts and terminology to help you better understand AI workloads and how to plan AI solutions.
Microsoft Learn · AI and machine learning
Relevant for: Developer, Architect, Manager
This learning path is designed to provide a comprehensive understanding of AI fluency. It includes modules that cover various aspects of AI, starting with foundational concepts and progressing to more advanced topics. Each module is tailored to help individuals and organizations use AI technologies to enhance their philanthropic efforts.
Microsoft Learn · AI and machine learning
Relevant for: Audience not specified
Explore the potential of artificial intelligence in education.
Microsoft Learn · accessibility
Relevant for: Security
Use AI to draft coaching materials without giving up professional judgment, employee choice, or privacy. Written for job coaches in supported employment.
Microsoft Learn · AI and machine learning
Relevant for: Executive
Nonprofits integrate AI into daily workflows while upholding ethical standards in alignment with their values while protecting the people they serve.
Microsoft Learn · accessibility
Relevant for: Audience not specified
Learn what AI is and how to use Microsoft Copilot to write messages, plan your day, and stay safe online, while you stay in charge of every choice.
Microsoft Learn · artificial-intelligence, generative-ai
Relevant for: Security
This course supports educators in exploring how Microsoft AI tools can be thoughtfully used in special education environments to reduce administrative demands, strengthen accessibility, and support clear communication with families. Throughout the learning path, responsible use of AI, privacy, and transparency are emphasized so educators can determine when and how AI fits into their practice in ways that align with student needs and professional values.
DeepLearning.AI · AI and machine learning
Relevant for: Audience not specified
Learn Python programming with AI assistance. Gain skills writing, testing, and debugging code efficiently, and create real-world AI applications.
Microsoft Learn · AI and machine learning
Relevant for: Developer, Security
Learn the fundamental concepts of AI security.
Microsoft Learn · AI and machine learning
Relevant for: Manager, Executive
This learning path introduces the fundamentals of building AI agents with Microsoft Copilot. Learn how to create and configure agents, connect knowledge sources, define agent behavior through instructions, and test your solutions. By completing these modules, you'll gain practical experience building and using AI agents to improve productivity and streamline everyday work.
Microsoft Learn · AI and machine learning
Relevant for: Developer, Architect, Security
Master the art of safeguarding sensitive data and enforcing governance for AI workloads on Azure. This learning path is crafted for IT and security professionals tasked with maintaining data protection and compliance in AI environments. Discover how to prevent data exfiltration and apply governance policies that ensure consistent, secure AI deployments. Learn to combine technical controls with strategic oversight to create resilient, policy-driven AI architectures that align with organizational and regulatory standards.
Microsoft Learn · AI and machine learning
Relevant for: Audience not specified
Power your teaching with Microsoft Education's AI-powered tools.
Microsoft Learn · artificial-intelligence
Relevant for: Developer
In today's fast-paced digital era, artificial intelligence (AI) is changing the way we train and educate. This learning path is designed to equip you with an understanding of how AI tools can transform a learning environment. Throughout this learning path, you'll explore how AI can elevate the training experience, build engaging content, and foster a more inclusive training environment. You'll also explore the advantages of integrating AI-powered productivity tools into your daily educational practices. By the end of this learning path, you'll be equipped to design and implement training ecosystems that apply AI tools to enhance the training process.
Microsoft Learn · generative-ai, data-analytics
Relevant for: Architect
Learn how to design AI-powered business solutions using agents, generative AI, and Microsoft Copilot to enhance productivity and efficiency.
Microsoft Learn · artificial-intelligence
Relevant for: Developer, Architect
Learn how to design production-grade agentic AI solutions in Microsoft Foundry. This training covers stateful agentic loop architecture, hierarchical orchestration patterns, dynamic task decomposition strategies, and enterprise-scale agent communication ecosystems, including A2A protocol integration for cross-platform agent connectivity. AI-500
DeepLearning.AI · AI and machine learning
Relevant for: Audience not specified
Understand and implement the attention mechanism, a key element of transformer-based LLMs, using PyTorch.
Hugging Face · AI and machine learning
Relevant for: Audience not specified
Learn to apply transformers to audio data using libraries from the HF ecosystem
Microsoft Learn · artificial-intelligence, business-applications
Relevant for: Developer, Manager
Wire your Power Platform solutions with intelligent automation and generative AI capabilities. Create event-driven cloud flows, connect automation directly to your Dataverse data model, build approval flows that route decisions to the right people — then extend your solutions further by generating natural language responses from your own business data with AI Builder grounded prompts.
Listings link to the original provider. Dates and availability are managed by each provider.