Getting Started with Mistral

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

The Getting Started with Mistral program is a non-degree course that teaches students how to access and use Mistral AI's collection of open source and commercial models. The program is short, taking place over several weeks, and is taught in English. The main advantage of this program is that it provides hands-on experience with features like effective prompting techniques and function calling.

The curriculum covers topics like selecting the right model for a specific use case, using Mistral's native function calling, and building a basic Retrieval Augmented Generation (RAG) system. Students will develop skills in tasks like classification, email writing, and coding, and learn how to use tools like similarity search and embeddings. The program also includes hands-on components where students can build a chat interface and interact with Mistral models.

After completing this program, students can pursue careers as AI Engineers, Software Developers, Data Analysts, or Chatbot Developers. They can work in industries like technology, finance, or healthcare, and potential employers may include companies that specialize in artificial intelligence or natural language processing.