Build Powerful AI Applications with Ollama: A Free Course

Dive into the world of AI development with our comprehensive course on IA Full-Stack con Ollama. This practical course is designed to empower you to build and deploy real AI applications using cutting-edge open-source models like LLaMA 3, Mistral, and more. Whether you are just starting out or have some experience in coding, you’ll find plenty of hands-on projects to enhance your learning experience. You’ll learn how to install, configure, and utilize Ollama to run powerful AI models locally, avoiding the high costs associated with cloud APIs.

As you progress, you’ll gain skills in natural language processing (NLP), text generation, code completion, debugging, sentiment analysis, and automation with AI. Engage in real-world projects such as building an AI news summarizer, a text correction tool, a customer support chatbot, and an intelligent assistant for business automation. Each project is designed to provide practical experience leveraging technologies like FastAPI, Python, and REST APIs, ensuring you acquire full-stack capabilities in AI integration.

Learn how to gather and process real-time data through APIs, perfect for creating applications that analyze up-to-date information. By the end of this course, you’ll have developed a range of complete AI projects that cover full-stack development, text processing, NLP comprehension, automation, and LLM-based applications. Get ready to take your AI development skills to the next level!

What you will learn:

• Implement AI models: install, configure, and run models with Ollama.
• Create AI apps: use models like LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
• Perform NLP tasks: summarize texts, generate content, and extract key data.
• Develop AI assistants: create chatbots and intelligent personal assistants.
• Generate and debug code with CodeLlama to enhance your development workflow.
• Integrate AI in web apps with FastAPI and an interactive real-time interface.
• Automate tasks: email responses, meeting summaries, and CVs.
• Utilize real data and APIs to gain insights with AI models.
• Enhance AI performance by adjusting prompts and optimizing responses.

Course Content:

• Sections: 3
• Lectures: 17
• Duration: 4h 29m

Requirements:

• Basic programming knowledge – Familiarity with Python is helpful but not mandatory; we’ll guide you through the coding process.
• Basic understanding of AI and machine learning – No deep ML knowledge required, but understanding how AI models work will be beneficial.

Who is it for?

• Students and self-learners – Interested in AI but unsure where to start? This course requires no prior experience and will guide you step-by-step to build practical applications.
• Startup founders and AI innovators – Looking to create AI-powered products? This course offers practical projects to kickstart your AI journey.
• Data analysts and researchers – Need to derive insights from legal documents, news articles, or customer reviews? Learn how to use AI to analyze massive texts.
• Tech entrepreneurs and product managers – Want to develop AI applications for your business? Learn to create chatbots, content generators, and automation tools.
• AI enthusiasts and machine learning hobbyists – Interested in working with models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? Gain practical experience implementing models.
• Developers and programmers – Want to integrate AI models into web apps or automation tools? Learn to create full-stack AI applications with Python and FastAPI.

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