Build Real-World AI Applications with Open Source Models

Dive into the ultimate hands-on course for AI development with Ollama. Whether you’re a beginner or an experienced developer, this course will equip you with the practical skills needed to build and deploy real AI applications using the latest open-source models like LLaMA 3, DeepSeek, and more. You’ll learn to integrate language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.

Throughout the course, you will install, configure, and run powerful AI models locally, avoiding costly cloud APIs. You’ll work on exciting projects like an AI news summarizer, a text correction tool, and a customer service chatbot. Each project immerses you in the practical use of FastAPI, Python, Ollama, and REST APIs, ensuring you develop full-stack skills for AI integration.

By the end of this course, you’ll have a complete understanding of full-stack development, natural language processing, automation, and LLM applications. With hands-on projects and a step-by-step guide tailored for both beginners and seasoned developers, you will be ready to implement AI models in production-ready applications. If you’re eager to elevate your AI development skills, this course is perfect for you!

What you will learn:

• Integrate open-source AI models into applications
• Build real-world AI projects using Python and FastAPI
• Implement automation tools and NLP features

Course Content:

• Sections: 12
• Lectures: 60
• Duration: 20 hours

Requirements:

• Basic understanding of programming
• Familiarity with AI concepts (optional)

Who is it for?

• Students and self-learners
• Startup founders and AI innovators
• Data analysts and researchers
• Tech entrepreneurs and product managers
• AI enthusiasts and machine learning practitioners
• Developers and programmers

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

👉 Don’t miss this coupon! – Cupón JAN_FREE_03