Build Real-World AI Applications with Ollama

Dive into the ultimate practical course in AI development with “IA Full-Stack con Ollama: Llama, Deepseek, Mistral, QwQ”. This course is designed for both beginners and experienced developers looking to build and deploy real AI applications using the latest open-source models. You will learn how to effectively install, configure, and use Ollama to run powerful AI models locally, eliminating the need for expensive cloud APIs.

Throughout this comprehensive course, you’ll gain hands-on experience with models including LLaMA 3, DeepSeek, Mistral, and many more. You’ll engage in exciting projects, from creating an AI news summarizer to a customer service chatbot, ensuring you practice skills like natural language processing (NLP), text generation, and automation with AI using tools like FastAPI and Python.

As you progress, you’ll learn to fetch and process real-time data through APIs, making your applications capable of analyzing up-to-date information. You will complete projects that involve real-world applications in text analysis, sentiment analysis, and job application evaluation, all centered around full-stack AI development. By the end of the course, you’ll be well-equipped to implement AI models in production-ready applications.

What you will learn:

• Implement AI models: install, configure, and run models with Ollama.
• Create AI apps: utilize 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 flow.
• Integrate AI into web apps with FastAPI and a real-time interactive interface.
• Automate tasks: emails, meeting summaries, and CVs.
• Use real data and APIs to derive insights with AI models.
• Optimize AI performance by fine-tuning prompts and 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 coding.
• Basic understanding of AI and machine learning – a deep knowledge of ML isn’t 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 guides you step-by-step to build practical applications.
• Startup founders and AI innovators – seeking to create AI-driven products; this course offers practical projects to kickstart your AI journey.
• Data analysts and researchers – wanting to gain insights from legal documents, news articles, or customer reviews; learn to use AI to analyze large texts.
• Tech entrepreneurs and product managers – needing 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; you will gain hands-on experience implementing models.
• Developers and programmers – aiming 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!

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