
Begin your journey to master Azure OpenAI by exploring cloud basics, Azure fundamentals, and advanced AI capabilities, culminating in a freely deployed AI-powered React capstone project.
Explore the fundamentals of cloud computing and get started with Azure as you learn cloud service models and the role of Microsoft Azure in modern cloud infrastructure.
Explore what cloud computing is, from the idea of someone else’s computer to scalable, secure AI and big data capabilities across IaaS, PaaS, and SaaS on Azure, AWS, and GCP.
Explore the Azure homepage, discover Azure AI Foundry, AI content understanding, and AI search, and learn about Linux and Windows virtual machines and serverless functions.
Learn how to create your free Azure account, sign up, understand the free vs pay-as-you-go options, and navigate the Azure dashboard.
Discover how Azure OpenAI brings GPT and DALL-E into the Azure cloud. Learn how Azure AI foundry enables secure, scalable integration with private endpoints.
Discover Azure AI Foundry to access pre-built models like GPT variants and Deep Sea, build custom AI models with Azure Machine Learning, and organize work in hubs and projects.
Learn how to link Azure OpenAI with Azure AI Foundry, create resources and a deployment, choose a base model like GPT 35 turbo, and test a chat.
Explore in module 3 how to select the right Azure OpenAI models and enhance prompts to gain an edge, outperform basic prompts, and achieve more effective results.
Navigate OpenAI's flagship and other models to select the right GPT variant. Learn about context windows and token calculations, using a token calculator to optimize prompts.
Master prompt engineering by distinguishing good and bad prompts and applying the TCR AI framework; apply prompt chaining and tree of thought to guide Azure OpenAI outputs.
Navigate the Azure AI Foundry interface, review OpenAI setup, model catalog, and playgrounds, and learn to manage endpoints, keys, access control, monitoring, and data files and vector stores.
Create an ai tutor bot that converses on any topic, delivering foundational knowledge and switching topics gracefully, with prompt generation, safety system messages, and configurable parameters.
Integrate Azure OpenAI API into a chatbot workflow by connecting a Jupyter notebook to the Azure environment, handling env keys, and streaming send‑receive cycles from prompts to responses.
Learn to integrate Azure OpenAI into a Jupyter notebook chat interface, using async IO, environment variables, and GPT-35 Turbo to create an interactive AI tutor.
Design prompts to power a React-based social media AI kit that connects to Azure OpenAI, enabling blog posts, LinkedIn posts, and Instagram captions via the OpenAI API.
Deploy a React app to Vercel for free by pushing to GitHub, configuring environment variables without quotes, and validating production builds through redeployments.
Explore AI ethics, address LLM limitations, apply safety checks and stop sequences in Azure, and consider future trends like domain-specific, multimodal, and autonomous AI.
Recap Azure OpenAI and AI Foundry basics, GPT models, and prompt engineering; preview five projects: document summarization, resume screening, multimodal AI with Dall-E, personalized workout planner, and story generator.
Deploy the Deep Sea AR1 model in Azure AI Foundry, explore the model catalog, and test prompts in the playground to generate detailed movie reviews with ratings.
Welcome to Master Azure OpenAI Service with Azure AI Foundry Course!
Are you a developer, data scientist, or tech enthusiast eager to integrate cutting-edge AI with cloud technologies?
Do you want to build real-world projects like chatbots and content generators using Azure OpenAI Service?
Have you been searching for a course that combines cloud fundamentals, hands-on projects, and the latest AI advancements in one comprehensive package?
If you answered yes to any of these questions, you’re in the right place.
What Makes This Course Stand Out?
Comprehensive Learning Experience: From cloud basics to advanced AI integrations, the course is structured to guide you step-by-step.
Project-Based Approach: Build a chatbot using the Python SDK and create a content generator with REST API and React—learn by doing.
Real-World Applications: Tackle real industry challenges, from prompt engineering for GPT models to exploring ethical AI practices.
Hands-On Modules: Each module is crafted to provide clear, practical lessons, ensuring you grasp both the theory and its application.
Cutting-Edge Technology: Leverage Azure AI Foundry alongside Azure OpenAI Service, and get exclusive insights into models like GPT-4, DALL-E, and more.
Important Announcement: This course is continually updated to reflect the latest advancements in cloud and AI technologies. Stay tuned for additional assignments, community support enhancements, and new project modules designed to keep you ahead in the rapidly evolving tech landscape.
Topics Covered in the Mastering Azure OpenAI Service with Azure AI Foundry Course
Module 1: Introduction to Cloud and Azure
Quick overview and course orientation. Learn what the cloud is, understand Azure fundamentals, and set up your Azure account.
Module 2: Introduction to Azure OpenAI & Azure AI Foundry
Discover Azure OpenAI Service, explore the capabilities of Azure AI Foundry, and learn how to access these tools.
Module 3: Exploring OpenAI Models & Prompt Engineering
Dive into GPT models, DALL-E, Llama, DeepSeek, and master the basics of prompt engineering.
Module 4: Walk-through Project 1 – Building a Chatbot using Python SDK
Hands-on project to design and implement a chatbot integrated with Azure OpenAI.
Module 5: Walk-through Project 2 – Creating a Content Generator System using REST API + React
Design prompts and integrate Azure OpenAI into a full-fledged content generator, with a bonus on deploying a React app.
Module 6: Advanced Topics
Learn ethical considerations, limitations of large language models, and future trends in AI.
Module 7: Course Recap and Next Steps
Summarize key learnings and explore further projects and applications to continue your AI journey.
Module 8: Bonus Content
Learn how to use the DeepSeek Model with Azure Foundry AI.
KEY BENEFITS OF AZURE OPENAI SERVICE MASTERY
Mastering Azure OpenAI Service empowers you to:
Build innovative AI-powered applications that integrate seamlessly with cloud infrastructure.
Gain hands-on experience through practical, real-world projects that prepare you for technical challenges.
Enhance your career prospects with advanced knowledge in both cloud computing and AI.
Develop the skills to design, deploy, and optimize AI solutions using state-of-the-art tools and models.
IMPORTANT NOTE FOR STUDENTS: Please note that the course content is regularly refreshed to incorporate the latest trends and updates in cloud and AI technologies. Be sure to follow the provided GitHub repositories and community channels for real-time updates and additional learning materials.
KEY TAKEAWAY
By the end of this course, you’ll have a solid understanding of Azure OpenAI Service and Azure AI Foundry, hands-on experience in building AI-driven applications, and the confidence to innovate in the evolving world of cloud and AI technologies. Get ready to transform your career and embrace the future of intelligent automation!