Course Provider
What will you learn in this Azure Machine Learning course?
- 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.
Work with generative artificial intelligence (AI) models in Azure Machine Learning
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Skill Type
Emerging Tech
- Domain
Generative AI
- Course Category
Deepskilling Course
- Nasscom assessment NA
- Course Covered under GoI Incentive
No
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- Course Price
Free
- Course Duration
2.5 Hours
- Course Price
Why should you take this Azure Machine Learning course?
- Taking this course offers several benefits:
- Deep Understanding: Gain a deep understanding of generative AI, the Transformer architecture, and large language models (LLMs).
- Hands-On Experience: Learn to work with LLMs in Azure Machine Learning, including accessing foundation models and fine-tuning them for specific tasks.
- Prompt Flow Development: Discover how to use prompt flow to develop applications that leverage LLMs effectively.
- Practical Skills: Equip yourself with practical skills for prompt engineering projects and building language model-based applications.
- Stay Current: Keep up with the latest advancements in generative AI technology and maintain a competitive edge in your field.
- This course is designed for data scientists and developers who want to explore the use of generative AI models for natural language processing in Azure Machine Learning. It's an opportunity to enhance your skills and knowledge in a rapidly evolving area of technology
Who should take this Azure Machine Learning course?
- The course is suitable for a range of professionals who are interested in generative AI and NLP, including:
- Data Scientists: Those with a background in Python and machine learning frameworks like Scikit-Learn, PyTorch, and TensorFlow, looking to build and operate machine learning solutions in the cloud.
- AI Engineers and Developers: Individuals seeking to create AI-infused applications leveraging Azure AI Services, Azure AI Search, and Open AI.
- Solution Architects: Professionals aiming to design and implement comprehensive solutions in Azure.
- Students: Learners who want to gain a foundational understanding of generative AI and its applications.
- It's particularly beneficial for those who have familiarity with Azure and the Azure portal, as the course includes hands-on modules that utilize these platforms.
Curriculum
- The includes three main modules:
- Understand the Transformer architecture and explore large language models in Azure Machine Learning: This module covers the history of NLP and the Transformer architecture's role in creating LLMs. It also guides you through working with LLMs in Azure Machine Learning using the model catalog.
- Fine-tune a foundation model with Azure Machine Learning: This module teaches you how to train a pre-trained LLM on specific tasks using the model catalog's open-source models.
- Get started with prompt flow to develop Large Language Model (LLM) apps: The final module focuses on using prompt flow to develop applications that leverage LLMs effectively.
- These modules are designed to provide a comprehensive understanding of generative AI models, their application in Azure Machine Learning, and the development of NLP applications using LLMs.
Tools you will learn in this Azure Machine Learning course
- In this course, learners will learn to use various tools and frameworks, including:
- Azure Machine Learning: Explore core components like workspaces, compute resources, and data stores. Learn to find and fine-tune models using the model catalog and conduct experiments with custom datasets.
- Azure AI Services and Azure AI Studio: Discover the latest generative AI technologies and learn how to build AI-infused applications leveraging these services.
- Python or TypeScript: Build your own generative AI applications using these programming languages.
- OpenAI models through Azure OpenAI Service: Access powerful OpenAI models for your applications.
- These tools will enable you to effectively build, deploy, and assess machine learning models on the Azure platform, ensuring you are equipped with the skills needed for the current AI landscape.