Full-Stack Ai With Ollama: Llama, Deepseek, Mistral, Phi - 2..

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Full-Stack Ai With Ollama: Llama, Deepseek, Mistral, Phi-2..
Published 2/2025
Created by Vivian Aranha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 3h 0m ) | Size: 1.2 GB​


Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More
What you'll 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.
Implement NLP Tasks - Work with AI models to summarize text, generate content, proofread documents, and extract key information from legal and business texts.
Develop AI-Powered Assistants - Build AI chatbots, customer support bots, and personal AI assistants using advanced LLMs.
Generate & Debug Code with AI - Utilize CodeLlama to auto-generate code, debug programming errors, and improve software development efficiency.
Integrate AI with Web Apps - Learn how to create full-stack applications with a FastAPI backend and interactive web UI, using AI models for real-time processing
Automate Business & Productivity Tasks - Implement AI solutions for automated email replies, AI-powered meeting summarization, and resume generation.
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.
Optimize AI Model Performance - Learn techniques for fine-tuning AI prompts, handling API responses, and improving response accuracy.
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.
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.
Description
Full-Stack AI with Ollama: Llama, DeepSeek, Mistral, Phi-2 is the ultimate hands-on AI development course that teaches you how to build and deploy real-world AI applications using the latest open-source AI models. Whether you're a beginner exploring artificial intelligence or an experienced developer, this course will provide you with practical projects to integrate large language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.Throughout this course, you will learn how to install, configure, and use Ollama to run powerful AI models locally without relying on expensive cloud-based APIs. You'll work with LLaMA 3, DeepSeek, Mistral, Mixtral, Phi-2, and CodeLlama, gaining expertise in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI-driven automation.The course is packed with real-world AI projects, including building AI-powered chatbots, content generators, text summarizers, resume builders, AI legal assistants, and automated API testers. You will develop an AI news summarizer, create an AI-powered proofreading tool, build a customer support chatbot, and implement an intelligent assistant for business automation. Each project provides hands-on experience with FastAPI, Python, Ollama, and REST APIs, ensuring you gain full-stack development skills in AI integration.You will learn how to fine-tune AI prompts, optimize large language models, and deploy AI-powered applications efficiently. The course covers text generation, AI-assisted writing, document extraction, SQL query generation, sentiment analysis, and multi-turn chatbot interactions. You'll also master building AI-powered tools for code generation, debugging, and software development, leveraging CodeLlama for auto-completion and debugging assistance.This course also teaches you how to fetch and process real-time data using APIs, making it ideal for those looking to build AI-driven applications that analyze real-time information. You'll create a real-time news summarizer, an AI-powered financial report analyzer, and an AI job application screener to automate recruiting.By the end of this course, you will have built AI-powered projects, covering full-stack AI development, text processing, natural language understanding, chatbot development, AI automation, and LLM-based applications. You will be confident in deploying AI models, integrating them into production-ready applications, and leveraging state-of-the-art AI technologies to build intelligent solutions.Whether you are a developer, data scientist, entrepreneur, researcher, or AI enthusiast, this course will provide you with the skills to implement AI models effectively. You will gain hands-on expertise in building AI-powered web applications, integrating NLP models, and automating tasks with AI-driven tools. This course is perfect for those who want to bridge the gap between AI research and practical implementation by working with top-performing models from Ollama.If you are ready to take your AI development skills to the next level and build cutting-edge AI-powered applications, then this is the perfect course for you!
Who this course is for
Students & Self-Learners - Interested in AI but don't know where to start? This course doesn't require prior AI experience and will guide you step-by-step in building practical AI applications.
Startup Founders & AI Innovators - If you're looking to build AI-powered products, this course will provide you with hands-on projects to kickstart your AI journey.
Data Analysts & Researchers - Want to extract insights from legal documents, news articles, or customer reviews? Learn how to use AI to analyze large text datasets efficiently.
Tech Entrepreneurs & Product Managers - Need to develop AI-driven applications for your business? This course will show you how to build AI-powered chatbots, content generators, and automation tools.
AI & Machine Learning Enthusiasts - Interested in working with state-of-the-art models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? You'll get hands-on experience with AI model deployment.
Developers & Programmers - Want to integrate AI models into web apps, automation tools, or software projects? This course will teach you how to build full-stack AI applications using Python & FastAPI.
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1.2 GB | 39min 29s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
1 -Introduction to Section Quick Start - Setting Up Ollama & First AI Model.mp4 (6.98 MB)
2 -Introduction to Ollama.mp4 (45.48 MB)
3 -Installing & Setting Up Ollama.mp4 (78.52 MB)
4 -Up and Running with Python.mp4 (180.05 MB)
5 -Project1.zip (4.13 KB)
5 -Your First AI Project AI Chat Assistant.mp4 (127.62 MB)
1 -Introduction to Section AI for Text Processing (NLP & LLMs).mp4 (5.51 MB)
2 -AI-Powered Text Summarizer using Mistral AI Model.mp4 (146.21 MB)
2 -ai text summarizer.zip (4.76 KB)
3 -AI Blog & Content Writer using LLaMA 3 AI Model.mp4 (133.19 MB)
3 -ai content writer.zip (3.72 KB)
4 -AI Code Generator & Debugger using CodeLlama AI Model.mp4 (117.09 MB)
4 -ai code assistant.zip (3.48 KB)
5 -ai proofreader.zip (3.92 KB)
5 -Grammar & Spell Checker using Deepseek R1 AI Model.mp4 (100.84 MB)
6 -AI Legal Document Analyzer using Phi-2 AI Model.mp4 (128.77 MB)
6 -ai legal analyzer.zip (3.99 KB)
7 -ai news summarizer.zip (4.4 KB)
7 -Real-Time AI News Summarizer using Qwen 2 5 AI Model.mp4 (161.19 MB)
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