Explore the foundations of machine learning and generative AI, covering key algorithms like neural networks, GANs, and transformers. Understand large language models (LLMs) and their applications in chatbots. Delve into image generation techniques with hands-on practice, including GANs, diffusion models, and VAEs. Explore video generation and excel at prompt engineering for chatbots and AI-driven image creation.

Unlock the creative potential of artificial intelligence with this Generative AI course. Dive into the fascinating world of generative models, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs), and explore the revolutionary Large Language Models (LLMs) and Transformer architectures. Delve deep into attention mechanisms and learn how they enhance the capabilities of AI models.

This course equips you with comprehensive skills in prompt engineering, including advanced techniques like Chain of Thought (CoT) prompting to optimize AI model interactions. It delves into LangChain for LLM development, focusing on critical aspects like model I/O, vector stores, and chatbot application flow. The course also covers Retrieval-Augmented Generation (RAG) within LangChain, exploring its architecture and integration components.

Explore the foundations of Agentic AI, including key design modules like perception, cognition, and action. Build intelligent agent workflows using LangGraph, AutoGen, and CrewAI. Leverage the MCP protocol for seamless tool integration and communication. Understand how enterprise adoption, governance, and security shape the future of agentic systems.

Explore the cutting-edge capabilities of Generative AI in image generation with our specialized course. Delve into Stable Diffusion and Denoising techniques, learn the art of producing high-quality, coherent images from noisy data. Unlock the potential of Shared Embedding Systems, enabling seamless integration and representation of diverse image features. Learn Contrastive Learning Techniques to effectively enhance model performance by leveraging data similarities and differences.

Understand the Significance of AI Governance. Address Governance Challenges in Generative AI. Explore Ethical Principles in AI. Establish Governance Structures and Committees. Manage Risks in AI Projects. Integrate Governance into the AI Project Lifecycle. Navigate the Evolving Regulatory Landscape. Explore Future Trends in AI Governance.

This course on the Microsoft Learn portal aims to provide a foundational understanding of Generative AI concepts, techniques, and ethical considerations, preparing you to explore further and apply your knowledge in practical scenarios.

Start by getting familiar with environments and the Microsoft Copilot Studio interface to create and manage copilots, create topics, and enhance productivity using generative AI. Test, publish, and analyze performance. Explore Azure AI Studio to understand its functionality, ground your language model, make data searchable, and build a copilot with prompt flow. Use Retrieval-Augmented Generation (RAG) to improve responses. Create a custom copilot using your own data for hands-on learning.

At the end of this Applied Generative AI Program, bring your newly acquired skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

Attend masterclasses by Microsoft Industry Experts and get insights about advancements in technology/techniques in Generative AI.