Intermediate
18 Hours
Online
Certified
About the Course
This is an end-to-end program designed for professionals who want to integrate AI tools into real-world development workflows. Participants learn how to build AI-powered systems, automate business processes, and develop production-ready solutions using Claude Code, agent-based architectures, and automation tools. The course follows a highly practical approach, featuring hands-on labs and a final capstone project.
⏰ Registration Deadline: April 30
🗓️ Course Start Dates: May 2
💻 Core Course Hours: Every Saturday & Sunday
With a total of 18 hours of core instruction, hands-on labs, real-world scenario–based exercises, and a final project, the program delivers a robust learning experience that enables participants to directly apply AI solutions to their day-to-day work.
Course Content
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Applied AI: Tools, Agents, and Automation
From Claude Code to Power Automate — build an end-to-end AI workflow in just 18 hours.
Designed for junior and mid-level developers who are ready to work smarter with AI.
⏱ 18 Hours
📦 4 Modules
🧪 12 Hands-on Labs
🛠 7+ Tools
🌐 Online
🎓 Certificated
Before You Start the Course
Basic Programming Skills
Python or TypeScript can be used. You don’t need to be an expert—curiosity and a willingness to learn are what matter most.
Terminal Fundamentals
Basic knowledge of running commands and navigating directories.
AI Awareness
You have used ChatGPT or Claude before and understand what a prompt is.
API Key Access
A Claude, Gemini, or OpenAI API key may be required (a free tier or a $5 credit is sufficient).
Haven’t completed the setup yet?
All required installations are covered step by step in Module 1.
What You Will Learn
- Setting up an AI development environment with Claude Code, VS Code, and the CLI
- Principles of context engineering
- Developing agents using the Claude Agent SDK
- Claude vs. Gemini model comparison
- Automation with n8n, Zapier, and Power Automate
- GitHub pull request and issue automation
Curriculum
01 — Set Up the AI Development Environment
Configure Claude Code, VS Code, and CLI.
- Installation and first run
- VS Code integration
- CLI usage
- Project setup
02 — Context Engineering
Optimize AI outputs effectively.
- System prompt design
- Memory strategies
- Context management
- Error handling and refinement
03 — Agent Development
Build production-ready agents.
- Agent architecture
- Tool design
- MCP server
- Capstone project
04 — Automation
Automate business workflows.
- Power Automate
- n8n / Zapier
- GitHub automation
- Final project
Skill Coverage
- Environment & Tools: 100%
- Context Engineering: 95%
- Agent Development: 90%
- Automation: 85%
Application Requirements
- Basic computer literacy and prior AI exposure are sufficient to participate.
- Even with limited coding experience, participants can successfully complete the course through live sessions and ongoing instructor support.
- Previous experience with AI tools such as ChatGPT or Claude is considered an advantage.
- Most exercises can be completed using free API accounts during the modules; however, certain advanced modules may require access to paid API plans.
Program Outline
Why Should I Join This Course?
Through this course, you will learn how to design and build end-to-end workflows using n8n and no-code/low-code tools, create intelligent automations through AI integrations, and deliver professional solutions for real-world projects.
Regardless of your technical background, you will gain hands-on experience in critical areas such as multi-channel notifications, database management, web integrations, and DevOps-related processes.
By working on live projects and receiving continuous instructor feedback, you will have the opportunity to confidently apply what you learn to real-world business scenarios—giving you a clear competitive edge in your career.
Frequently Asked Questions
The Applied AI course is designed for software developers, product managers, automation specialists, data-focused professionals, and anyone interested in building AI agents. It is particularly valuable for individuals with a technical background who want to deepen their expertise in AI automation, agent-based systems, and low-code/no-code tools.
This course is well suited for professionals looking to move beyond basic AI usage and apply artificial intelligence directly to real-world workflows and production-level solutions.
The course covers Claude Code, the Claude Agent SDK, VS Code, CLI-based AI development environments, and GitHub integrations as core tools. Participants learn how to work within modern AI-driven development workflows using these technologies.
In addition, the course includes a detailed Claude vs. Gemini model comparison, exploring the differences between leading large language models (LLMs) in terms of performance, use cases, and cost considerations. This comparative approach enables participants to make informed decisions when selecting and applying LLMs in real-world scenarios.
Context engineering refers to the deliberate and structured design of the context provided to AI models. In this course, participants learn—through hands-on practice—how context engineering goes beyond traditional prompt engineering and how it can be applied to enable AI agents to produce more accurate and consistent outputs.
This approach is particularly critical for enterprise-grade AI solutions in production environments, where reliability, predictability, and alignment with business logic are essential.
The course includes a structured Claude vs. Gemini model comparison, covering key dimensions such as:
- Natural language understanding capabilities
- Code generation and analytical performance
- Long-context handling and memory management
- Enterprise use cases and deployment scenarios
This comparative analysis enables participants to make informed decisions and select the most suitable AI model for their specific projects and business requirements.
By the end of the course, participants will be able to:
- Build hands-on, applied artificial intelligence systems
- Develop and deliver AI agent–based projects
- Design automation and integration solutions
- Create enterprise-level, AI-driven business workflows
These capabilities represent some of the most in-demand AI and automation skills in today’s technology-driven business landscape.
