Vibe Coding To Claude Code Mastery: Build Ai Apps & Agents
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 31m | Size: 2.54 GB
What you'll learn
Build complete AI-powered applications using Claude, APIs, and modern development tools from scratch
Master Prompt Engineering with frameworks like Role-Task-Format, few-shot prompting, and prompt chaining to generate reliable outputs
Design and develop AI Agents capable of automation, task execution, and multi-step workflows
Connect frontend, backend, and APIs to create real-world, production-ready systems
Understand how Large Language Models (LLMs) work, including tokens, context windows, and output behavior
Deploy applications to production using GitHub workflows, hosting platforms, and environment variables
Debug and monitor live applications using logs, error tracking tools, and best practices
Integrate external services and databases using APIs and Model Context Protocol (MCP)
Turn AI projects into SaaS products, including MVP building, pricing strategies, and scaling
Apply AI security and best practices, including handling prompt injections, protecting data, and building responsibly
Requirements
No prior AI or coding experience required - this course is designed for complete beginners as well as intermediate learners
Basic familiarity with using a computer and internet browsing is enough to get started
A laptop or desktop (Windows, Mac, or Linux) with internet access
Willingness to learn modern tools like Claude, APIs, and AI-assisted development workflows
Description
"This course contains the use of artificial intelligence"
Welcome to the AI Engineering Bootcamp: Build Apps, Agents & SaaS - the ultimate hands-on course designed to take you from complete beginner to advanced AI builder. In this course, you will learn how to leverage Artificial Intelligence, Claude, and modern AI development tools to build real-world applications, automate workflows, and launch your own AI-powered SaaS products.
This is not a theory-heavy course. It is a practical, project-based journey where you will learn by building. You'll start with the concept of Vibe Coding, a new way of developing where you move beyond traditional coding and use prompting, AI-assisted development, and automation workflows to build faster than ever before. You'll understand why AI is transforming software development and how you can position yourself ahead of the curve.
You will then dive into the fundamentals of Large Language Models (LLMs), including how they work, how tokens and context windows affect outputs, and how to think like an AI builder. From there, you'll master Prompt Engineering, learning powerful frameworks like Role-Task-Format, zero-shot and few-shot prompting, prompt chaining, and iterative prompting workflows that allow you to consistently generate high-quality outputs.
As you progress, you'll unlock advanced skills in Context Engineering, where you'll learn how to control AI behavior, manage long context, reduce hallucinations, and design reliable AI systems. This is one of the most critical and in-demand skills in modern AI development.
You'll then move into hands-on development using Claude Code, setting up your environment with tools like Python, Node.js, and GitHub, and learning how to work efficiently across CLI, IDE, and browser workflows. You will build your first complete AI-powered application, including frontend development, backend logic generation, and connecting APIs to create dynamic, real-world systems.
In the deployment phase, you'll learn how to take your app live using GitHub workflows, hosting platforms, environment variables, and production-level practices like monitoring and debugging live applications.
Beyond apps, you'll explore the world of AI Agents, understanding how to design autonomous systems, implement task decomposition, and build multi-agent workflows that can automate complex processes. You'll also learn how to integrate external tools using APIs, Model Context Protocol (MCP), and database connections to build scalable AI systems.
Finally, this course goes beyond building - you'll learn how to monetize your AI skills by turning projects into SaaS products, understanding pricing strategies, building MVPs, and scaling your applications. You'll also cover critical topics like AI security, prompt injection attacks, data privacy, and ethical AI development, ensuring you build responsibly.
By the end of this course, you will not just understand AI - you will be able to build, deploy, automate, and monetize AI systems with confidence. Whether you want to become an AI Engineer, freelancer, or startup founder, this course gives you the complete roadmap to succeed in the future of AI development.
Who this course is for
Beginners who want to break into AI and learn how to build real applications without getting stuck in heavy theory
Developers and engineers who want to upgrade their skills with AI, prompt engineering, and agent-based systems
Students and fresh graduates looking to build job-ready AI projects and portfolios
Freelancers and creators who want to use AI to build tools, automate workflows, and offer high-value services
Entrepreneurs and startup founders who want to turn ideas into AI-powered SaaS products quickly
Non-technical professionals (product managers, analysts, marketers) who want to leverage AI to build and automate solutions
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