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Large Language Models with Azure
Noah Gift
and
Alfredo Deza
Noah Gift
and
Alfredo Deza
Master Large Language Model Operations on Azure
Read more
Master Large Language Model Operations on Azure
Read more
Master Large Language Model Operations on Azure
- Unlock Azure's full potential for deploying & optimizing Large Language Models (LLMs)
- Build robust LLM applications leveraging Azure Machine Learning & OpenAI Service
- Implement architectural patterns & GitHub Actions workflows for streamlined MLOps
Course Highlights:
- Explore Azure AI services and LLM capabilities
- Mitigate risks with foundational strategies
- Leverage Azure ML for model deployment & management
- Optimize GPU quotas for performance & cost-efficiency
- Craft advanced queries for enriched LLM interactions
- Implement Semantic Kernel for enhanced query results
- Dive into architectural patterns like RAG for scalable architectures
- Build end-to-end LLM apps using Azure services & GitHub Actions
Ideal for data professionals, AI enthusiasts & Azure users looking to harness cutting-edge language AI capabilities. Gain practical MLOps skills through tailored modules & hands-on projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/ckveew/large
What's inside
Learning objectives
- Gain proficiency in leveraging azure for deploying and managing large language models (llms).
- Develop advanced query crafting skills using semantic kernel to optimize interactions with llms within the azure environment.
- Acquire hands-on experience in implementing patterns and deploying applications with retrieval augmented generation (rag)
- Gain proficiency in leveraging azure for deploying and managing large language models (llms).
- Develop advanced query crafting skills using semantic kernel to optimize interactions with llms within the azure environment.
- Acquire hands-on experience in implementing patterns and deploying applications with retrieval augmented generation (rag)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment
Examines practical techniques for optimizing LLM deployments and managing GPU quotas for performance and cost-efficiency
Provides hands-on experience with implementing advanced patterns and deploying applications with Retrieval Augmented Generation (RAG)
Taught by recognized industry experts Noah Gift and Alfredo Deza, who bring deep expertise in Large Language Model operations on Azure
Leverages Azure Machine Learning and OpenAI Service, industry-leading platforms for LLM development and deployment
Emphasizes foundational strategies for mitigating risks and ensuring responsible LLM usage
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Activities
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Large Language Models with Azure.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Large Language Models with Azure will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers use LLMs to develop and deploy AI applications. This course will provide you with the skills to use LLMs to master Large Language Model Operations on Azure. You will also learn how to explore Azure AI services and LLM capabilities, craft advanced queries for enriched LLM interactions, and implement Semantic Kernel for enhanced query results.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use LLMs to build and deploy machine learning models. This course will provide you with the skills to use LLMs to build robust LLM applications using Azure Machine Learning & OpenAI Service. You will also learn how to implement architectural patterns & GitHub Actions workflows for streamlined MLOps.
Data Scientist
Data Scientist
Data Scientists use Large Language Models (LLMs) to process large amounts of data to extract insights. This course will provide you with the skills to use LLMs to unlock the full potential of Azure for deploying and managing LLMs. You will also learn how to mitigate risks with foundational strategies, leverage Azure ML for model deployment & management, and optimize GPU quotas for performance & cost-efficiency.
Data Analyst
Data Analyst
Data Analysts use LLMs to analyze large amounts of data to identify trends and patterns. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG).
Research Scientist
Research Scientist
Research Scientists use LLMs to develop new AI algorithms and applications. This course will provide you with the skills to use LLMs to develop advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment. You will also learn how to dive into architectural patterns like RAG for scalable architectures.
Software Engineer
Software Engineer
Software Engineers use LLMs to develop and deploy software applications. This course will provide you with the skills to use LLMs to build end-to-end LLM apps using Azure services & GitHub Actions. You will also learn how to implement patterns and deploy applications with Retrieval Augmented Generation (RAG).
Product Manager
Product Manager
Product Managers use LLMs to develop and manage AI products. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to mitigate risks with foundational strategies, leverage Azure ML for model deployment & management, and optimize GPU quotas for performance & cost-efficiency.
Business Analyst
Business Analyst
Business Analysts use LLMs to analyze business data and identify opportunities for improvement. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG).
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use LLMs to develop and deploy financial models. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to mitigate risks with foundational strategies, leverage Azure ML for model deployment & management, and optimize GPU quotas for performance & cost-efficiency.
Entrepreneur
Entrepreneur
Entrepreneurs use LLMs to develop and launch new businesses. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG).
Consultant
Consultant
Consultants use LLMs to help their clients solve business problems. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to mitigate risks with foundational strategies, and craft advanced queries for enriched LLM interactions.
Journalist
Journalist
Journalists use LLMs to research and write articles. This course will provide you with the skills to use LLMs to craft advanced queries for enriched LLM interactions. You will also learn how to implement Semantic Kernel for enhanced query results.
Freelance Writer
Freelance Writer
Freelance Writers use LLMs to write articles, blog posts, and other content. This course will provide you with the skills to use LLMs to craft advanced queries for enriched LLM interactions. You will also learn how to implement Semantic Kernel for enhanced query results.
Salesperson
Salesperson
Salespeople use LLMs to generate leads and close deals. This course will provide you with the skills to use LLMs to craft advanced queries for enriched LLM interactions. You will also learn how to implement Semantic Kernel for enhanced query results.
Marketer
Marketer
Marketers use LLMs to create and manage marketing campaigns. This course will provide you with the skills to use LLMs to gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs). You will also learn how to mitigate risks with foundational strategies.
For more career information including salaries, visit:
OpenCourser.com/course/ckveew/large
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Large Language Models with Azure.
Provides a practical guide to using Python for deep learning. It valuable resource for those who want to learn more about the theory and practice of deep learning using Python.
Provides a practical guide to using PyTorch for deep learning. It valuable resource for those who want to learn more about the theory and practice of deep learning using PyTorch.
Save
Provides a comprehensive overview of machine learning algorithms. It valuable resource for those who want to learn more about the theory and practice of machine learning algorithms.
Provides a comprehensive overview of pattern recognition and machine learning. It valuable resource for those who want to learn more about the theory and practice of pattern recognition and machine learning.
Save
Comprehensive textbook on deep learning, which is the foundation of LLMs. It valuable resource for those who want to understand the theory and practice of deep learning.
Classic textbook on statistical learning. It valuable resource for those who want to understand the theory and practice of statistical learning.
Classic textbook on reinforcement learning. It valuable resource for those who want to learn more about the theory and practice of reinforcement learning.
Provides a comprehensive overview of NLP techniques and algorithms. It valuable resource for those who want to learn more about the theory and practice of NLP.
Provides a broad overview of AI and its applications. It good starting point for those who are new to the field and want to learn more about the potential of AI.
Provides a comprehensive overview of speech and language processing. It valuable resource for those who want to learn more about the theory and practice of speech and language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ckveew/large
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Effort
3 to 6 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructors
Noah Gift
Alfredo Deza
Session
March 15, 2024
- March 16, 2028
Language
English
Transcript
English
Good to know
Covers advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment
Examines practical techniques for optimizing LLM deployments and managing GPU quotas for performance and cost-efficiency
Provides hands-on experience with implementing advanced patterns and deploying applications with Retrieval Augmented Generation (RAG)
Taught by recognized industry experts Noah Gift and Alfredo Deza, who bring deep expertise in Large Language Model operations on Azure
Leverages Azure Machine Learning and OpenAI Service, industry-leading platforms for LLM development and deployment
Emphasizes foundational strategies for mitigating risks and ensuring responsible LLM usage
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