Coursera - 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.
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.
Skills you'll gain
ChatGPT
Natural Language Processing
Generative AI
Business Process
Cloud Applications
OpenAI
Business Modeling
Artificial Intelligence
Business Analysis
Interaction Design
Application Deployment
Business Strategy
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.
Applied Learning Project
Build practical LLM applications including a custom FAQ chatbot using HuggingFace and Python, fine-tune models for business-specific tasks, and create production-ready conversational AI systems. Projects simulate real-world scenarios from model selection to deployment, giving you portfolio-ready examples of LLM implementation in business contexts.