Build Powerful AI Applications with Full-Stack Development

Enroll in this Free Udemy Course on Full-Stack AI Development today!

Dive into the Full-Stack AI course that empowers you to create and deploy real-world AI applications. From basic to advanced levels, this course guides you through hands-on projects that utilize cutting-edge open-source AI models such as LLaMA 3, Mistral, and CodeLlama. Whether you’re starting your journey in artificial intelligence or looking to upgrade your skills, you’ll gain practical knowledge on integrating large language models into web applications and automation tools.

Throughout the course, you’ll learn the ins and outs of installing and configuring Ollama to run AI models locally, ensuring you don’t have to rely on costly cloud services. We’ll cover various NLP tasks including text summarization, content generation, code completion, and much more; providing you with the expertise needed to tackle real-world AI challenges. Get ready to develop remarkable projects like an AI news summarizer, customer support chatbot, and intelligent assistants designed for seamless business automation.

By the end of this immersive course, you will confidently deploy powerful AI models and create full-stack applications that leverage the latest in AI technology. Embrace the future of AI development and gain hands-on experience that will not only enhance your skills but also open doors to innovative opportunities in the AI landscape.

What you will learn:

  • Understand AI Model Deployment – Learn how to install, set up, and run AI models locally using Ollama.
  • Build AI-Powered Applications: Develop real-world AI applications using top models from Ollama, including LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
  • Work with Real-World Data & APIs – Fetch live data from news APIs, finance APIs, and customer reviews, and analyze them using AI models for insights.

Course Content:

  • Sections: 3 sections
  • Lectures: 17 lectures
  • Duration: 3h 59m

Requirements:

  • Basic Programming Knowledge – Some familiarity with Python is helpful but not mandatory. We will guide you through the coding process.
  • Basic Understanding of AI & Machine Learning – No deep ML knowledge required, but knowing how AI models work will be beneficial.

Who is it for?

  • Students & Self-Learners
  • Startup Founders & AI Innovators
  • Data Analysts & Researchers
  • Tech Entrepreneurs & Product Managers
  • AI & Machine Learning Enthusiasts
  • Developers & Programmers

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