This course focuses on the design and implementation of intelligent troubleshooting agents. You will learn to create AI-powered agents that can diagnose and resolve issues autonomously. The course covers natural language processing, decision-making algorithms, and best practices in AI agent development.
Building Intelligent Troubleshooting Agents
This course is part of Microsoft AI & ML Engineering Professional Certificate
Instructor: Microsoft
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Skills you'll gain
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42 assignments
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There are 5 modules in this course
In this module, you'll delve into the critical processes and methodologies involved in fine-tuning LLMs to enhance their performance for specific tasks. By the end of this module, you will have a comprehensive understanding of fine-tuning techniques and be equipped to apply these methods to enhance LLMs for specific, practical applications.
What's included
11 videos29 readings13 assignments
In this module, you will delve into the critical processes and methodologies involved in fine-tuning LLMs to enhance their performance for specific tasks. By the end of this module, you will have a comprehensive understanding of fine-tuning techniques and be equipped to apply these methods to enhance LLMs for specific, practical applications.
What's included
5 videos13 readings7 assignments
This module provides a comprehensive introduction to integrating natural language processing (NLP) techniques into the development of intelligent troubleshooting agents. You will learn to implement fundamental NLP methods, design effective chatbot interfaces, and apply sentiment analysis to improve user interactions. By the end of this module, you'll have the skills to build and optimize NLP-driven chatbots for troubleshooting, applying foundational text analysis techniques, creating effective user interfaces, and leveraging sentiment analysis to enhance user interactions.
What's included
7 videos10 readings7 assignments
This module equips you with the skills to develop a sophisticated troubleshooting agent using Python. The module covers coding core functionalities, integrating ML models, implementing decision-making algorithms, and establishing robust error-handling and logging systems. By the end of this module, you will have a comprehensive understanding of how to build and refine a troubleshooting agent using Python. You will be equipped with skills in coding core functionalities, integrating ML for problem classification, implementing decision-making algorithms, and ensuring robust error handling and logging.
What's included
6 videos19 readings9 assignments
This module focuses on the critical aspects of ensuring the quality and performance of troubleshooting agents through rigorous testing, performance monitoring, optimization, and real-world evaluation. You will develop skills to design test cases, implement monitoring systems, enhance response efficiency, and assess the agent's effectiveness in practical applications. By the end of this module, you will have the expertise to rigorously test, monitor, and optimize troubleshooting agents, ensuring they perform effectively and efficiently in real-world situations.
What's included
10 videos8 readings6 assignments1 peer review
Recommended if you're interested in Software Development
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Frequently asked questions
You should have completed the first two courses in the program, or have equivalent experience with the concepts taught in those courses.
You will need a license to Microsoft Azure (or a free trial version) and appropriate hardware. Note: the free trial version of Azure is time limited and may expire before completion of the program.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.