Prerequisites
- Python programming skills (basic to intermediate)
- Familiar with REST APIs and making HTTP requests
- Basic understanding of AI/LLMs (helpful for intermediate/advanced courses)
- Comfort with command-line tools and package management (pip)
What You Will Learn
In this course, you will learn the following key topics.
- Access and use Mistral LLMs via API or SDK
- Craft effective prompts for better AI outputs
- Fine-tune and customize models for specific tasks
- Build AI applications like chatbots and workflows
- Integrate Mistral models with frameworks like LangChain
- Handle data inputs and outputs for AI processing
- Deploy models locally or in the cloud
- Optimize model performance and resource usage
- Understand ethical considerations and safe AI use
- Troubleshoot common errors and implementation issues
Who Should Enroll?
- Software developers and engineers
- Data scientists and ML practitioners
- AI/ML students and researchers
- Technical product managers
- DevOps or MLOps professionals working with LLMs
- Anyone building AI-powered applications or automation
- Tech professionals aiming to specialize in generative AI
