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End to End LLMs with Azure
Noah Gift
and
Alfredo Deza
Noah Gift
and
Alfredo Deza
This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Explore architectural patterns like Retrieval-Augmented Generation (RAG) and Azure services like Azure Search for robust applications. Gain insights into streamlining deployments with GitHub Actions. Apply your knowledge by implementing RAG with Azure Search, creating GitHub Actions workflows, and deploying end-to-end LLM applications. Develop a deep understanding of Azure's ecosystem for LLM solutions, from model deployment to architectural patterns and deployment pipelines.
Register for this course and see more details by visiting:
OpenCourser.com/course/9hjroz/end
What's inside
Syllabus
Get Started with LLMs in Azure
This week, you will explore architectural patterns and deployment of large language model applications. By studying RAG, Azure services, and GitHub Actions, you will learn how to build robust applications. You will apply your learning by implementing RAG with Azure search, creating GitHub Actions workflows, and deploying an end-to-end application.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to integrate with Python, a popular language in the field
Focuses on the application of Azure OpenAI services, which is highly relevant to industry
Led by Noah Gift and Alfredo Deza, who are experts in the field
Develops architectural patterns like Retrieval-Augmented Generation (RAG), which is useful in building robust LLM applications
Uses Azure Search, a popular service for building search-based applications
Leverages GitHub Actions, which streamlines deployment pipelines
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Activities
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End to End LLMs with Azure.
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Career center
Learners who complete End to End LLMs with Azure will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is an expert in applying scientific methods and algorithms to large datasets to extract meaningful insights and make predictions. The End to End LLMs with Azure course can help you become a Data Scientist by providing you with the skills to use Azure for building and deploying Large Language Model (LLM) applications. You will learn how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge is essential for Data Scientists who want to use LLMs to solve real-world problems.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for developing and deploying machine learning models. The End to End LLMs with Azure course can help you become a Machine Learning Engineer by providing you with the skills to use Azure for building and deploying Large Language Model (LLM) applications. You will learn how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge is essential for Machine Learning Engineers who want to use LLMs to solve real-world problems.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer is responsible for developing and deploying natural language processing models. The End to End LLMs with Azure course can help you become a Natural Language Processing Engineer by providing you with the skills to use Azure for building and deploying Large Language Model (LLM) applications. You will learn how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge is essential for Natural Language Processing Engineers who want to use LLMs to solve real-world problems.
Software Engineer
Software Engineer
A Software Engineer is responsible for developing and deploying software applications. The End to End LLMs with Azure course can help you become a Software Engineer by providing you with the skills to use Azure for building and deploying Large Language Model (LLM) applications. You will learn how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge is essential for Software Engineers who want to use LLMs to develop innovative new applications.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. The End to End LLMs with Azure course may be useful for Marketing Managers who want to use LLMs to improve their marketing campaigns. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Marketing Managers to create more effective and targeted marketing campaigns.
Product Manager
Product Manager
A Product Manager is responsible for developing and managing products. The End to End LLMs with Azure course may be useful for Product Managers who want to use LLMs to improve their products. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Product Managers to develop more innovative and user-friendly products.
Operations Manager
Operations Manager
An Operations Manager is responsible for overseeing the day-to-day operations of a company. The End to End LLMs with Azure course may be useful for Operations Managers who want to use LLMs to improve their operations. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Operations Managers to automate tasks, improve efficiency, and reduce costs.
Consultant
Consultant
A Consultant is responsible for providing advice and guidance to businesses. The End to End LLMs with Azure course may be useful for Consultants who want to use LLMs to improve their consulting services. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Consultants to provide more innovative and effective solutions to their clients.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for using data to help businesses make better decisions. The End to End LLMs with Azure course may be useful for Business Intelligence Analysts who want to use LLMs to analyze large datasets and extract meaningful insights. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Business Intelligence Analysts to automate their work and improve the accuracy of their analysis.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products or services. The End to End LLMs with Azure course may be useful for Customer Success Managers who want to use LLMs to improve their customer service. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Customer Success Managers to resolve customer issues more quickly and effectively.
Researcher
Researcher
A Researcher is responsible for conducting research and developing new knowledge. The End to End LLMs with Azure course may be useful for Researchers who want to use LLMs to improve their research. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Researchers to automate their work and improve the accuracy of their research.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations to businesses. The End to End LLMs with Azure course may be useful for Financial Analysts who want to use LLMs to improve their analysis. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Financial Analysts to automate their work and improve the accuracy of their analysis.
Project Manager
Project Manager
A Project Manager is responsible for planning and executing projects. The End to End LLMs with Azure course may be useful for Project Managers who want to use LLMs to improve their project management skills. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Project Managers to plan more efficient projects and avoid costly mistakes.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. The End to End LLMs with Azure course may be useful for Sales Managers who want to use LLMs to improve their sales performance. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Sales Managers to close more deals and increase their sales revenue.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. The End to End LLMs with Azure course may be useful for Data Analysts who want to use LLMs to analyze large datasets and extract meaningful insights. The course will teach you how to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. This knowledge can help Data Analysts to automate their work and improve the accuracy of their analysis.
For more career information including salaries, visit:
OpenCourser.com/course/9hjroz/end
Reading list
We've selected nine 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
End to End LLMs with Azure.
This comprehensive textbook covers a wide range of topics in speech and language processing, including acoustics, phonetics, morphology, syntax, semantics, and pragmatics. It provides a strong foundation for learners who want to deepen their understanding of the theory and practice of natural language processing.
This textbook provides a comprehensive introduction to statistical learning theory and practice. It covers a wide range of topics, including supervised learning, unsupervised learning, and model selection. It valuable resource for learners who want to gain a strong foundation in statistical modeling.
Provides a comprehensive introduction to deep learning concepts and techniques using Python. It useful reference for learners who want to dive deeper into the theoretical foundations of deep learning and explore advanced applications.
Offers an accessible introduction to probabilistic programming and Bayesian methods. It valuable resource for learners who want to understand the probabilistic underpinnings of machine learning models and develop a deeper intuition for model performance.
Is the de-facto standard for learning about deep learning with Python. It covers the basics of deep learning, as well as advanced topics like neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of Azure. It covers various aspects of Azure, including core services, management tools, and security.
Offers practical NLP techniques and best practices, including the use of LLMs for tasks like text summarization, classification, and sentiment analysis.
Provides a comprehensive treatment of natural language processing from a probabilistic perspective, offering a theoretical foundation for LLM development.
Offers foundational knowledge in reinforcement learning, which is relevant for understanding the underlying principles behind training LLMs.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9hjroz/end
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Effort
4 hours
Level
Intermediate
Via
Coursera
Institution
Duke University
Instructors
Noah Gift
Alfredo Deza
Language
English
Good to know
Teaches how to integrate with Python, a popular language in the field
Focuses on the application of Azure OpenAI services, which is highly relevant to industry
Led by Noah Gift and Alfredo Deza, who are experts in the field
Develops architectural patterns like Retrieval-Augmented Generation (RAG), which is useful in building robust LLM applications
Uses Azure Search, a popular service for building search-based applications
Leverages GitHub Actions, which streamlines deployment pipelines
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