Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning (Free Online Course) – This course empowers you to explore the capabilities of Generative AI models within the Azure Machine Learning platform. Learn how to fine-tune and deploy advanced AI models to generate creative content, enhance decision-making, and solve real-world problems. The course provides hands-on experience in leveraging pre-built generative models and integrating them into workflows. You’ll also gain insights into ethical AI practices and responsible use of generative AI technologies. Perfect for AI enthusiasts and professionals, this course offers the knowledge needed to innovate and build intelligent systems using Azure’s robust machine-learning tools.
What You Will Learn?
Learners will learn about the history and development of natural language processing (NLP), including the revolutionary Transformer architecture and its role in creating large language models (LLMs). |
The course provides hands-on experience with LLMs in Azure Machine Learning, exploring the model catalog, and fine-tuning foundation models for specific tasks. |
Additionally, you’ll gain insights into prompt flow development for LLM applications, ensuring you’re equipped with the latest skills in generative AI technology. |
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Future Skills Prime Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
Also Check : Deep Code: Elevating Software Development with AI-Driven Code Analysis