Build Your Own AI: Chatbots, Automation, & More (No APIs Needed!)

What you will learn:

Develop independent AI agents for automation, chatbots, and intelligent assistants.
Build AI models for human-like text understanding, processing, and generation.
Create AI-driven automation for repetitive tasks and workflow optimization.
Use local vector databases (like FAISS) for efficient knowledge storage and retrieval within AI agents.
Integrate voice input/output capabilities into your AI agents for hands-free operation.
Design chatbots with persistent memory to maintain context across conversations.
Deploy web-based AI assistants via Streamlit for interactive user experiences.
Build AI document readers capable of extracting information, summarizing content, and providing answers from PDFs.
Construct personal AI finance trackers for expense analysis and budgeting.
Refine AI model performance and interactions through prompt engineering.

Description

Revolutionize your workflow with our hands-on AI agent bootcamp! Learn to build powerful chatbots, automation tools, and intelligent assistants entirely offline, without relying on external APIs or cloud services. This course is perfect for beginners and experienced developers alike, providing a practical, step-by-step approach to creating your own AI solutions.

Dive into the world of local AI models and vector databases. You'll construct chatbots capable of engaging conversations and remembering past interactions. Master the art of building automated task managers, efficient document readers capable of extracting key information and answering complex questions from PDFs, and even sophisticated web scrapers that extract, summarize, and organize data from websites. Develop these essential applications using open-source tools, keeping your projects secure, private, and fully under your control.

This course isn't just theory; it's intensive, hands-on learning. You will gain practical experience constructing AI-powered personal assistants, integrating speech recognition and text-to-speech, and utilizing prompt engineering to optimize AI interactions. You'll learn to deploy your creations using streamlined web interfaces, making your powerful AI tools easily accessible and user-friendly. Throughout the course, we'll leverage FAISS for efficient data management within your local environment.

By the end of this bootcamp, you’ll possess the skills and confidence to build intelligent agents for a vast array of tasks, from managing your personal schedule to analyzing complex datasets. No prior AI experience is necessary; we’ll guide you through every step of the process, ensuring you master fundamental concepts and build robust, functional AI applications.

This course empowers you to harness the potential of AI while maintaining complete ownership and control of your data and applications. Join us and unlock the power of offline AI today!

Curriculum

Day 1: Introduction to AI Agents & Essential Tools

This introductory day sets the foundation. You'll learn the core concepts behind AI agents, explore the benefits of using Ollama, and complete the setup process. We'll then dive into downloading a suitable AI model, covering Python basics (optional) to prepare you for building your first AI agent. Finally, you'll add memory functionality and create a user-friendly web UI for seamless interaction with your newly created AI agent. This section’s lectures cover defining AI agents, setting up the Ollama framework, downloading and integrating models, essential Python coding, crafting a basic AI agent, adding memory features, and building a web interface for user interaction.

Day 2: Crafting Your Personalized AI Assistant

On Day 2, we transform theory into practice by building a personal AI assistant. The day begins by installing the necessary dependencies. Then, you will learn how to build an AI voice assistant step by step. The core functionality of the assistant will be carefully explained, and you will finally learn to run it and even build a web-based version for enhanced accessibility. Lectures will cover dependency installation, constructing the AI voice assistant, understanding its inner workings, execution, and building a web-based version of the assistant.

Day 3: Building an Intelligent Web Scraping Agent

Day 3 focuses on creating a powerful web scraper agent. After installing the required dependencies, you'll learn to build this tool, understand its functionality, and execute it effectively. A key element is learning how to store the scraped data in a vector database for efficient management and retrieval. The lectures cover dependency installation, building the AI web scraper, understanding its mechanism, execution, and the efficient storage of scraped data in a vector database.

Day 4: Mastering AI-Powered Document Reading & Q&A

This final day culminates in building an advanced document reader and Q&A bot. Following the installation of necessary dependencies, you will build the AI document reader, understand how it functions, and learn to run it. A crucial part of this section is enabling the file download of AI-summarized reports for convenient access to processed information. Lectures focus on dependency installation, building the AI document reader, understanding its operations, execution, and enabling the download of AI-generated summary reports.

Deal Source: real.discount