Course Includes:
- Price: FREE
- Enrolled: 29473 students
- Language: English
- Certificate: Yes
- Difficulty: Beginner
Coupon verified 07:32 PM (updated every 10 min)
Course Folder
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 youre new to AI
- we’ll cover everything step by step. If youre an experienced developer
- youll 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.
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