Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 59 Minute(s)
Language
English
Taught by
School of AI
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)
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!
Course Content
- 3 section(s)
- 17 lecture(s)
- Section 1 Quick Start - Setting Up Ollama & First AI Model
- Section 2 AI for Text Processing (NLP & LLMs)
- Section 3 AI for Conversational Bots & Assistants
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.
Skills covered in this course
Reviews
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YYallanti Kumar
intresting
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TTanmay Patil
focun on small project only
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KKishori S
I very awesome! Thanks for sharing a wonderful knowledge
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kkumkum soni
I am grateful for this opportunity and thank the entire team for their support and guidance. This internship has provided me with a strong foundation for my career. Let me know if you want it in Hindi or personalized for a specific company or field (like Java, data science, etc.).
