Large Language Models are revolutionizing how businesses operate, from customer support to content generation. This comprehensive program takes you from LLM business strategy to production deployment, combining strategic thinking with hands-on technical skills. You'll learn to evaluate LLM opportunities, fine-tune models for specific tasks, and build production-ready applications using industry-standard tools like Hugging Face, Python, and cloud platforms. The program covers essential topics including business implementation strategies, model evaluation techniques, fine-tuning approaches, and ethical AI deployment. Whether you're a business leader seeking AI strategy insights or a technical professional building LLM applications, you'll gain practical skills to leverage these transformative technologies. By completion, you'll understand how to select appropriate models, implement custom solutions, and deploy responsible AI systems that drive real business value across industries.

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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.



Instructors: Reza Moradinezhad
Included with
Recommended experience
Recommended experience
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.
Overview
Skills you'll gain
Tools you'll learn
What’s included

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August 2025
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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
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
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
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
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
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
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
While the program starts with business fundamentals, it progresses to intermediate technical content requiring Python programming skills and familiarity with AI concepts for hands-on projects.
You'll gain proficiency in HuggingFace, Python, Gradio, LangChain, Streamlit, Google Cloud Vertex AI, and other industry-standard tools for LLM development and deployment.
This program combines business strategy with technical implementation skills, preparing you for roles like AI Product Manager, LLM Application Developer, Business AI Strategist, or Machine Learning Engineer focused on language models.
More questions
Financial aid available,