Build Real AI Apps with Open Source Models

Dive into the world of AI development with ‘IA Full-Stack con Ollama’. This practical course guides you through building and deploying real AI applications using the latest open-source models including LLaMA 3, Mistral, DeepSeek, Mixtral, and more. Whether you’re a beginner or an experienced developer, you’ll engage in hands-on projects that integrate language models into web applications, automation tools, and advanced AI-driven solutions.

You’ll start by learning how to install and configure Ollama to run powerful AI models locally, eliminating the need for costly cloud API dependencies. The course emphasizes real-world applications; you will create a news summarizer, a text correction tool, a customer service chatbot, and an intelligent assistant for business automation. Each project provides practical experience with FastAPI, Python, and REST APIs, ensuring you develop full-stack skills in AI integration.

As you progress, you’ll learn to fetch and process real-time data through APIs, perfect for those looking to build applications that analyze up-to-date information. By the end of this course, you will have built complete AI projects encompassing full-stack development, text processing, natural language understanding, automation, and LLM-based applications, preparing you to implement AI models in production-ready apps. This course is ideal for developers, data scientists, entrepreneurs, and AI enthusiasts eager to elevate their AI development skills.

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 streamline your development flow.
• Integrate AI into web apps with FastAPI and a real-time interactive interface.
• Automate tasks: email responses, meeting summaries, and CVs creation.
• 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 – Some experience with Python is helpful but not mandatory. We will guide you through the coding process.
• Basic understanding of AI and machine learning – No deep ML knowledge is required, but it will be beneficial to understand how AI models work.

Who is it for?

• Students and self-learners – If you’re interested in AI but don’t know 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 – If you’re looking to create AI-powered products, this course offers practical projects to help you on your AI journey.
• Data analysts and researchers – Want to gain insights from legal documents, news articles, or customer reviews? Learn to use AI to analyze massive texts.
• Tech entrepreneurs and product managers – Need to develop AI applications for your business? Learn to create chatbots, content generators, and automation tools.
• AI and machine learning enthusiasts – Interested in working with models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? Gain practical experience in model implementation.
• Developers and programmers – Want to integrate AI models into web apps or automation tools? Learn to build 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!

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