Who is this course for?

This course is perfect for developers, aspiring AI practitioners, or anyone interested in building AI-powered applications. Whether you are looking to enhance your skills in AI development or dive into creating intelligent systems, this bootcamp offers both foundational knowledge and hands-on experience for a wide audience, including beginners and intermediate learners.

How long does it take to complete the course?

The course takes approximately 5 hours to complete. It’s designed for fast-paced learning with practical exercises, enabling you to build AI applications efficiently. You can complete the course at your own pace, depending on how much time you dedicate to each section.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Full-Stack AI and Mastering AI Agents Bootcamp

Full-Stack AI and Mastering AI Agents Bootcamp

Instructor: Packt - Course Instructors

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Gain practical skills in building AI-powered web scrapers and Q&A bots for real-world applications.
Develop interactive AI agents with memory and web-based interfaces for user engagement.
Create real-time AI tools like text summarizers and grammar checkers for professional use.
Build AI-powered chat assistants and content generation systems using LLMs.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

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There are 7 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this bootcamp, you’ll learn full-stack AI development, starting with setting up Ollama and building your first AI models. Explore AI for text processing, including content generation, grammar checking, and text summarization with NLP and large language models. You’ll also build AI-powered conversational bots and assistants, and create real-world applications like web scrapers and document readers. Integrate memory, voice recognition, and web interfaces to develop complex AI agents. This course is ideal for developers and aspiring AI engineers looking to deepen their skills in AI agent development. Prerequisites include basic knowledge of Python and AI concepts. By the end, you’ll have hands-on experience creating and deploying advanced AI models and systems for real-world projects.

In this module, we will walk you through setting up Ollama and preparing your Python environment for AI model development. You’ll also kickstart your journey by creating a simple AI chat assistant, demonstrating the fundamental steps of AI project creation.

What's included

5 videos1 reading

In this module, we explore the power of AI in text processing through practical projects. You’ll learn to create tools like a text summarizer, content generator, and grammar checker using advanced models like Mistral, LLaMA 3, and Deepseek R1 for a variety of real-world applications.

What's included

7 videos1 assignment

7 videos Total 100 minutes

Introduction to Section AI for Text Processing (NLP & LLMs) 1 minute
AI-Powered Text Summarizer using Mistral AI Model 18 minutes
AI Blog & Content Writer using LLaMA 3 AI Model 17 minutes
AI Code Generator & Debugger using CodeLlama AI Model 15 minutes
Grammar & Spell Checker using Deepseek R1 AI Model 13 minutes
AI Legal Document Analyzer using Phi-2 AI Model 16 minutes
Real-Time AI News Summarizer using Qwen 2.5 AI Model 20 minutes

1 assignment Total 15 minutes

Full Stack AI: AI for Text Processing (NLP & LLMs) - Assessment 15 minutes

In this module, we’ll guide you through creating intelligent AI agents for customer support, personal assistance, and e-commerce. You’ll harness the power of models like QWQ, LLaMA 2, and Granite 3.2 to develop bots that can enhance user interaction and automation.

What's included

5 videos1 assignment

5 videos Total 60 minutes

Introduction to Section AI for Conversational Bots & Assistants 1 minute
Customer Support Chatbot - QWQ AI Model 18 minutes
AI-Powered Virtual Assistant - LLaMA 2 16 minutes
Medical AI Symptom Checker - MedLLaMA 2 12 minutes
E-Commerce AI Product Recommender - Granite 3.2 13 minutes

1 assignment Total 15 minutes

Full Stack AI: AI for Conversational Bots & Assistants - Assessment 15 minutes

In this module, we’ll introduce the concept of AI agents, highlighting their potential to automate processes. You’ll learn to set up Ollama for AI development, and then dive into building a simple agent that remembers past interactions to provide more intelligent responses.

What's included

9 videos1 assignment

9 videos Total 77 minutes

Goals for Day 1: Introduction to AI Agents & Tools 1 minute
What are AI Agents? 2 minutes
Why Use Ollama for AI Agents? 1 minute
Setting Up Ollama 2 minutes
Download a Model for AI Agents 4 minutes
Python Basics for AI (Optional) 39 minutes
Build a Simple AI Agent 10 minutes
Adding Memory to the AI Agent 8 minutes
Building a Web UI for the AI Agent 9 minutes

1 assignment Total 15 minutes

AI Agents Bootcamp: Introduction to AI Agents & Tools - Assessment 15 minutes

In this module, we’ll focus on building a personal AI assistant that can understand and respond to voice commands. We’ll guide you through the process of adding voice functionality, then turn your assistant into a web-based application, making it accessible from any device.

What's included

6 videos1 assignment

In this module, we’ll teach you how to develop an AI-powered web scraper that can autonomously gather and process data from websites. We’ll also explain how to store this data in a vector database, ensuring it can be efficiently queried for future use.

What's included

6 videos1 assignment

In this module, you’ll learn how to build an AI-powered document reader that extracts key insights from documents. We’ll also show you how to develop a Q&A bot that can answer specific questions, and how to enable users to download AI-generated document summaries for easy reference.

What's included

6 videos3 assignments

6 videos Total 23 minutes

Goals for Day 4: AI-Powered Document Reader & Q&A Bot 1 minute
Install Dependencies 2 minutes
Build the AI Document Reader 11 minutes
How the AI Document Reader Works 1 minute
Running the AI Document Reader 2 minutes
Enable File Download of AI-Summarized Reports 7 minutes

3 assignments Total 90 minutes

AI Agents Bootcamp: AI-Powered Document Reader & Q&A Bot - Assessment 15 minutes
Full Course Assessment 60 minutes
Full Course Practice Assessment 15 minutes

Instructor

Packt - Course Instructors

Packt

1,395 Courses 375,627 learners

Offered by

Packt

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Frequently asked questions

Full-Stack AI refers to the end-to-end development of AI applications, covering everything from setting up AI environments and creating AI models to implementing advanced AI-powered solutions. It is relevant because it enables developers to build sophisticated AI systems across a wide range of use cases, including text processing, conversational bots, web scraping, and document analysis, all of which are crucial in today's data-driven world.

This course is a bootcamp that takes you through the entire process of mastering Full-Stack AI, from setting up the tools to building complex AI agents. It covers building AI-powered applications, working with language models (LLMs), creating AI bots, automating tasks, and even developing personal assistants and document readers. The course focuses on hands-on projects that empower you to work with cutting-edge AI technologies.

Upon completing this course, you will be equipped to create advanced AI applications, including AI chat assistants, content generators, and conversational bots. You'll also be capable of developing custom AI agents, web scrapers, document readers, and Q&A bots. Additionally, you'll be able to use Python, Ollama, and various AI models to build fully functional, intelligent systems that can automate tasks and interact with users effectively.

This course is designed for beginners and intermediates. While no prior experience with AI is required, it helps to have a basic understanding of Python programming, machine learning concepts, and general software development practices. The course provides the necessary foundations for those new to AI, as well as practical examples to help deepen your understanding.