Full-Stack AI and Mastering AI Agents Bootcamp

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Full-Stack AI and Mastering AI Agents Bootcamp

Coursera · Intermediate ·🧠 Large Language Models ·3mo ago

Key Takeaways

Covers full-stack AI development and mastering AI agents with Ollama and AI models

Original Description

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.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
GPT-5.5 Complete Guide in 2026
Learn about GPT-5.5, its features, performance, and why it matters in 2026, and how to leverage it for improved AI-assisted tasks
Dev.to AI
📰
AI Simplified — Why Structured Output Matters More Than a Fluent Answer
Learn why structured output is crucial for AI answers and how it can improve usability and automation
Dev.to AI
📰
You Validated the Output. Who Validated the Process?
Validate AI processes, not just outputs, to ensure reliability and trustworthiness
Dev.to · Yura Solovey
📰
I ran a 110B LLM on 16GB of RAM. Here's the equation that predicts any model's speed on your machine
Learn how to predict a large language model's speed on your machine using a simple equation, and discover how to run a 110B LLM on limited RAM
Dev.to · Federico Sciuca
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →