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Harnessing LLMs: Strategy, Fine-Tuning & Evaluation 专项课程
Coursera Instructor Network

Harnessing LLMs: Strategy, Fine-Tuning & Evaluation 专项课程

Build AI-powered business solutions with LLMs. Learn to deploy Large Language Models strategically. Technical skills in Python recommended.

Reza Moradinezhad
Starweaver
Manas Dasgupta

位教师:Reza Moradinezhad

包含在 Coursera Plus

深入学习学科知识
中级 等级

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4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Develop strategic frameworks for implementing LLMs in business operations and evaluate their impact across industries.

  • Master technical skills for fine-tuning, evaluating, and selecting appropriate Large Language Models for specific use cases.

  • Build and deploy production-ready LLM applications using Python, HuggingFace, and modern AI development tools.

要了解的详细信息

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授课语言:英语(English)
最近已更新!

August 2025

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  • 通过 Coursera Instructor Network 获得职业证书

专业化 - 7门课程系列

您将学到什么

  • Evaluate the opportunity of LLMs and utilize their capabilities for their business.

  • Review the opportunities provided by current LLMs, as well as current limitations in certain business applications.

  • Develop a roadmap to design and implement new business ideas using LLMs.

  • Analyze current trends of LLMs and work to “cut through the noise.”

您将获得的技能

类别:Large Language Modeling
类别:Generative AI
类别:Technology Roadmaps
类别:Analytics
类别:Trend Analysis
类别:Market Trend
类别:MarTech
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Artificial Neural Networks
类别:Business Strategy
类别:Program Development
类别:Content Marketing
类别:Real Time Data
类别:OpenAI
类别:Business Marketing
类别:LLM Application
类别:Customer experience improvement
类别:ChatGPT

您将学到什么

  • Analyze key concepts of Large Language Models, Evolution of Language AI, and fine-tuning.

  • Identify and analyze how to use LLMs Fine-Tuning for business-specific tasks.

  • Apply LLM fine-tuning to create your own custom model.

  • Evaluate the future of LLMs for business use cases and stay updated with the latest trends in Language AI.

您将获得的技能

类别:LLM Application
类别:Business Solutions
类别:Large Language Modeling
类别:Forecasting
类别:Business Strategies
类别:Generative AI
类别:Business Analysis
类别:Artificial Intelligence
类别:Natural Language Processing
类别:Technology Roadmaps

您将学到什么

  • Identify the fundamentals of Large Language Models, including current evaluation methods and access to Vertex AI's evaluation models.

  • Apply hands-on knowledge of using Vertex AI's Automatic Metrics and AutoSxS for LLM evaluation.

  • Evaluate upcoming trends in generative AI evaluation, encompassing text, image, and audio models, and the importance of human evaluation.

您将获得的技能

类别:Large Language Modeling
类别:Performance Metric
类别:LLM Application
类别:Data Ethics
类别:Verification And Validation
类别:Generative AI
类别:Google Cloud Platform
类别:Program Evaluation
类别:User Feedback
类别:Image Quality
类别:Human Factors
类别:Responsible AI
类别:Quality Assessment
GenAI and Model Selection

GenAI and Model Selection

第 4 门课程3小时

您将学到什么

  • Distinguish between GenAI models and their applications.

  • Use evaluation criteria to select suitable GenAI models for specific uses cases

  • Make informed decisions about integrating GenAI models into their operational systems

您将获得的技能

类别:Generative AI
类别:Generative Model Architectures
类别:Statistical Modeling
类别:Software Development
类别:Machine Learning
类别:Applied Machine Learning
类别:Innovation
类别:Scalability
类别:Large Language Modeling
类别:Systems Integration
类别:Strategic Decision-Making
类别:Prompt Engineering

您将学到什么

  • Navigate through the Hugging Face Ecosystem

  • Comparing Models using various Factors and Practical Considerations

  • Using a Model from Hugging Face

  • Determine the most suitable model for a given task by scoring the results from each candidate model on a variety of parameters.

您将获得的技能

类别:Large Language Modeling
类别:LLM Application
类别:Applied Machine Learning
类别:Prompt Engineering
类别:Generative Model Architectures
类别:Machine Learning Methods

您将学到什么

  • Evaluate LLMs conceptually and comprehend the solution development process

  • Analyze use cases for LLMs and determine Optimal Architectures, Models, and Optimization Techniques

  • Apply and compare Diverse Optimization Techniques for LLM Models

  • Design and develop Advanced LLM Solutions Utilizing LLama2

您将获得的技能

类别:Large Language Modeling
类别:Generative Model Architectures
类别:Generative AI
类别:Design
类别:Technical Management
类别:User Interface (UI)
类别:LangChain
类别:Solution Architecture
类别:LLM Application
类别:Prompt Engineering
类别:Analysis
类别:Virtual Environment
类别:System Design and Implementation

您将学到什么

  • Explore AI capabilities with interactive tasks.

  • Build a chatbot using Python and HuggingFace.

  • Deploy a reliable AI app.

  • Evaluate AI ethics through practical scenarios.

您将获得的技能

类别:Application Development
类别:Prompt Engineering
类别:Responsible AI
类别:Large Language Modeling
类别:LLM Application
类别:Application Security
类别:Generative AI
类别:Artificial Intelligence
类别:Application Deployment
类别:Open Source Technology
类别:Continuous Monitoring

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位教师

Reza Moradinezhad
Coursera Instructor Network
4 门课程3,414 名学生
Starweaver
Coursera Instructor Network
446 门课程818,636 名学生
Manas Dasgupta
Coursera Instructor Network
10 门课程8,088 名学生

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