Udemy – Full-Stack AI with Ollama: Llama, Deepseek, Mistral, Phi-2.. 2025-2

Full-Stack AI with Ollama: Llama, Deepseek, Mistral, Phi-2… This comprehensive, hands-on course teaches you how to build and deploy real-world AI applications using the latest open-source AI models. Whether you’re a beginner or an experienced developer, this course provides hands-on projects for integrating large language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions. Throughout the course, you’ll learn how to install, configure, and use Ollama to run powerful AI models locally, without the need for expensive cloud-based APIs. You’ll work with LLaMA 3, DeepSeek, Mistral, Mixtral, Phi-2, and CodeLlama, and gain expertise in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI-driven automation. By the end of the course, you will build AI-powered projects that cover full-stack AI development, text processing, natural language understanding, chatbot development, AI automation, and LLM-based applications.

What you will learn:

• Understanding AI Model Deployment: Learn to install, set up, and run AI models locally using Ollama.
• Build AI-Powered Applications: Develop real AI applications using Ollama’s leading models, including LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
• Implementing NLP tasks: Working with AI models to summarize text, generate content, proofread documents, and extract key information from legal and business texts.
• Developing AI-Powered Assistants: Build AI chatbots, customer support bots, and AI personal assistants using advanced LLMs.
• Code generation and debugging with AI: Use CodeLlama to automatically generate code, debug programming errors, and improve software development efficiency.
• Integrating AI with Web Applications: Learn how to build full-stack applications with a FastAPI backend and interactive web UI, using AI models for real-time processing.
• Business task automation and productivity: Implement AI solutions for automated email responses, AI-powered meeting summaries, and resume generation.
• Work with real data and APIs: Get live data from news APIs, financial APIs, and customer reviews and analyze it using AI models for insights.
• Optimize AI model performance: Learn techniques for fine-tuning AI prompts, managing API responses, and improving response accuracy.

Who is this course suitable for?

• Students and self-learners: Interested in AI but don’t know where to start? This course requires no prior AI experience and guides you step-by-step through building practical AI applications.
• Startup Founders and AI Innovators: If you’re looking to build AI-powered products, this course offers hands-on projects to kickstart your AI journey.
• Data analysts and researchers: Want to extract insights from legal documents, news articles, or customer reviews? Learn how to use AI to efficiently analyze large text data sets.
• Tech entrepreneurs and product managers: Need to develop AI-driven applications for your business? This course shows you how to build AI-powered chatbots, content creators, and automation tools.
• AI and Machine Learning enthusiasts: Interested in working with advanced models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? You will gain hands-on experience in AI model deployment.
• Developers and programmers: Want to integrate AI models into web applications, automation tools, or software projects? This course will teach you how to build full-stack AI applications using Python and FastAPI.

Course details for Full-Stack AI with Ollama: Llama Deepseek Mistral Phi-2..

• Publisher:  Udemy
• Instructor:  Vivian Aranha
• Training level: Beginner to advanced
• Training duration: 3 hours
• Number of lessons: 12

Course headings

Prerequisites for the Full-Stack AI with Ollama course: Llama Deepseek Mistral Phi-2..

• 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.
• Familiarity with Web Development (Optional) – Some experience with HTML, JavaScript, and FastAPI will help in building AI-powered web apps.
• This course is structured to guide absolute beginners through AI development, while also providing advanced hands-on projects for experienced developers.
• If you’re new to AI, we’ll cover everything step by step. If you’re an experienced developer, you’ll gain practical experience in building and deploying real-world AI applications using top AI models from Ollama.

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 190 MB

File(s) password: www.downloadly.ir

File size

1.1 GB