Ollama - Mastering Generative Ai And Beyond
Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 912.16 MB | Duration: 2h 30m
Unlock the Power of Gen AI with Ollama: Build Spring REST API, Execute Live Function Calls and Integrate with OpenWebUI
What you'll learn
Build and integrate a Spring Boot REST API with Ollama to interact with Generative AI models.
Implement real-time function calls to AI models through REST APIs, enabling dynamic AI-driven applications.
Seamlessly integrate and manage AI models using OpenWebUI for enhanced model performance and usability.
Apply the skills learned to deploy and optimize AI applications for real-world scenarios, enhancing user experiences.
Use Gradle to compile and Build Spring Boot Rest API App to interact with AI Models
Requirements
Basic Understanding of Java
Basic Knowledge of RESTful APIs
Willingness to Learn Gen AI and Ollama
Description
Welcome to "Ollama - Generative AI and Beyond," the ultimate course designed to empower you with the skills needed to harness the full potential of Generative AI. In this course, you'll dive deep into the innovative world of Ollama, a powerful platform that enables you to run large language models (LLMs) on your local machine without the need for a GPU. Whether you're a developer, data scientist, or AI enthusiast, this course will equip you with the practical knowledge and hands-on experience needed to create and deploy AI-driven applications.Key Features of the Course:Spring Boot REST API Development: Learn how to create a robust Spring Boot REST API that interacts seamlessly with AI models using Ollama. You'll be guided through setting up your environment, coding the API, and integrating it with Ollama's powerful AI capabilities.OpenWebUI Integration: Discover how to integrate Ollama with OpenWebUI, a user-friendly interface that simplifies managing and interacting with AI models. This feature enhances your ability to visualize, test, and optimize your models for better performance.Live Function Calls via REST API: Gain hands-on experience in making live function calls to AI models through REST APIs. You'll learn to implement real-time interactions that bring your AI-driven applications to life.Practical, Real-World Applications: By the end of the course, you'll have built a fully functional system that leverages Ollama's capabilities to execute live function calls. You'll be equipped to deploy these models in real-world scenarios, providing intelligent automation, data analysis, and enhanced user experiences.Comprehensive Learning Path: This course is designed to take you from the basics of AI and Ollama to advanced integration techniques, ensuring you gain a thorough understanding of the entire process.Expert-Led Instruction: Benefit from expert guidance throughout the course, with detailed explanations, practical examples, and hands-on exercises that reinforce your learning.What You'll Achieve:By the end of this course, you will have the confidence to develop and deploy AI-powered applications using Ollama, create scalable REST APIs, and perform live function calls that enhance user interaction. Whether you're aiming to advance your career in AI or seeking to bring innovative AI solutions to your projects, "Ollama - Generative AI and Beyond" offers you the tools and knowledge to succeed.
Overview
Section 1: Introduction
Lecture 1 Introduction and Agenda
Lecture 2 Quick tips on enhancing learning experience
Section 2: Generative AI Basics
Lecture 3 Agenda Items of this section
Lecture 4 Generative AI - Understanding and some use cases
Lecture 5 Generative AI - Basic Terms
Lecture 6 Understanding Model in layman terms
Lecture 7 What are Tokens and Embeddings in AI Models?
Lecture 8 Prompt Engineering: Strategies and Practical Examples in DevOps and DevSecOps
Lecture 9 Let's understand the ML type, Algorithm and Model in ChatGPT
Lecture 10 Let's understand the ML type, Algorithm and Model in Dall-E
Lecture 11 Let's understand the ML type, Algorithm and Model in Github Copilot
Section 3: Ollama Basics and Installation
Lecture 12 What is Ollama and Why should we use it?
Lecture 13 HandsOn- Install Ollama on Windows
Lecture 14 HandsOn - Install Ollama on Linux
Section 4: Create Spring Boot Rest API application to use AI Models with Ollama
Lecture 15 HandsOn - Create a Spring Boot Rest API app to use Ollama Models - Part 1
Lecture 16 HandsOn - Create a Spring Boot Rest API app to use Ollama Models - Part 2
Lecture 17 Case Study - Fetch and Ingest Live data to AI Models - GitHub Repo Walkthrough
Lecture 18 Case Study - Fetch and Ingest Live data to AI Models - Code Walkthrough - Part 1
Lecture 19 Case Study - Fetch and Ingest Live data to AI Models - Code Walkthrough - Part 2
Lecture 20 HandsOn - Install Docker Desktop on Windows Machine to run OpenWebUI with Ollama
Lecture 21 HandsOn - Provide a Web interface to Ollama on Local System
Section 5: Next Steps
Lecture 22 Bonus Lecture
Developers and Programmers,AI Enthusiasts,Data Scientists and Engineers,Students and Learners,QA Engineers,DevOps Engineers,Security Engineers
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