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Harnessing LLMs: Strategy, Fine-Tuning & Evaluation Specialization
Coursera Instructor Network

Harnessing LLMs: Strategy, Fine-Tuning & Evaluation Specialization

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

Reza Moradinezhad
Starweaver
Manas Dasgupta

Instructors: Reza Moradinezhad

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans

What you'll learn

  • 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.

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Taught in English
Recently updated!

August 2025

11 practice exercises

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Specialization - 7 course series

What you'll learn

  • 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.”

Skills you'll gain

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

What you'll learn

  • 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.

Skills you'll gain

Business Solutions, LLM Application, Large Language Modeling, Technology Roadmaps, Artificial Intelligence, Natural Language Processing, Generative AI, ChatGPT, Forecasting, Business Analysis, and Business Strategies

What you'll learn

  • 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.

Skills you'll gain

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

GenAI and Model Selection

Course 43 hours

What you'll learn

  • 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

Skills you'll gain

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

What you'll learn

  • 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.

Skills you'll gain

LLM Application, Large Language Modeling, Machine Learning Methods, Prompt Engineering, Generative Model Architectures, and Applied Machine Learning

What you'll learn

  • 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

Skills you'll gain

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

What you'll learn

  • Explore AI capabilities with interactive tasks.

  • Build a chatbot using Python and HuggingFace.

  • Deploy a reliable AI app.

  • Evaluate AI ethics through practical scenarios.

Skills you'll gain

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

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Instructors

Reza Moradinezhad
Coursera Instructor Network
4 Courses3,525 learners
Starweaver
Coursera Instructor Network
448 Courses838,709 learners
Manas Dasgupta
Coursera Instructor Network
10 Courses8,705 learners

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