Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
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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.
Explore related topics
This course includes:
- 4 hours on-demand video
- 13 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Course content
3 sections • 17 lectures • 3h 59m total length
- Introduction to Section: Quick Start – Setting Up Ollama & First AI Model
- Introduction to Ollama
- Installing & Setting Up Ollama
- Up and Running with Python
- Your First AI Project: AI Chat Assistant
- Introduction to Section AI for Text Processing (NLP & LLMs)
- AI-Powered Text Summarizer using Mistral AI Model
- AI Blog & Content Writer using LLaMA 3 AI Model
- AI Code Generator & Debugger using CodeLlama AI Model
- Grammar & Spell Checker using Deepseek R1 AI Model
- AI Legal Document Analyzer using Phi-2 AI Model
- Real-Time AI News Summarizer using Qwen 2.5 AI Model
- Introduction to Section AI for Conversational Bots & Assistants
- Customer Support Chatbot – QWQ AI Model
- AI-Powered Virtual Assistant – LLaMA 2
- Medical AI Symptom Checker – MedLLaMA 2
- E-Commerce AI Product Recommender – Granite 3.2
- 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.
Description
Full-Stack AI with Ollama: Llama, DeepSeek, Mistral, QwQ, Phi-2, MedLlama2, Granite3.2 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, QwQ, Phi-2, MedLlama2, Granite3.2 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. 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.
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.
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
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