Elevate Your AI Skills with Full-Stack Development

Dive into the ultimate practical course on AI development with ‘IA Full-Stack con Ollama’. Designed for both beginners and experienced developers, this course teaches you how to build and deploy real AI applications using the latest open-source models like LLaMA 3, DeepSeek, and Mistral. You will gain hands-on experience with projects that integrate language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions. Throughout the course, learn to install, configure, and operate Ollama to run powerful AI models locally without relying on costly cloud APIs.

In this comprehensive curriculum, you will explore the intricacies of natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and automation with AI. The course is filled with practical projects where you will develop a news summarizer, a text correction tool, a customer service chatbot, and a smart assistant for business automation. Each project includes practical experience with FastAPI, Python, Ollama, and REST APIs, ensuring you acquire full-stack skills in AI integration.

By the end of the course, you will have completed full AI projects that cover full-stack development, text processing, natural language understanding, automation, and LLM-based applications. You’ll be ready to implement AI models in production-ready applications. This course is perfect for developers, data scientists, entrepreneurs, researchers, and AI enthusiasts looking to elevate their AI development skills to the next level.

What you will learn:

• Implement AI models: install, configure and run models using Ollama.
• Create AI apps: utilize models such as LLaMA 3, Mistral, and CodeLlama.
• 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 into web apps with FastAPI and a real-time interactive interface.
• Automate tasks: responses to emails, meeting summaries, and CVs.
• Use real data and APIs for insights with AI models.
• Improve AI performance by fine-tuning 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’ll guide you through the coding process.
• Basic understanding of AI and machine learning – no deep ML knowledge is required, but understanding how AI models work will be beneficial.

Who is it for?

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

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