Module 1: Foundations of Vibe Coding & Tool Setup
Understand the philosophy and benefits of vibe coding.
Explain core concepts of LLMs and Generative AI.
Master advanced prompting and context engineering techniques.
Set up a professional AI coding environment (Cursor + Claude).
Module 2: Master Cursor & Claude Code
Utilize advanced features of Cursor and Claude Code for efficient development.
Apply context and harness engineering to improve AI output quality.
Review, test, and iterate on AI-generated code effectively.
Module 3: Python Program Logic with Vibe Coding (Part 1)
Build core Python structures (functions, loops, data structures) using vibe coding.
Work with APIs, JSON, and web requests through natural language instructions.
Implement proper error handling in AI-generated code.
Module 4: Python Program Logic with Vibe Coding (Part 2)
Design data processing pipelines for fetching, cleaning, and analysing text data.
Develop basic sentiment analysis capabilities.
Debug and optimize AI-generated Python code for reliability and performance.
Module 5: Essential IT Concepts for AI Builders
Understand key backend concepts: REST APIs, webhooks, and databases.
Explain cloud architecture fundamentals relevant to AI applications.
Implement data storage and retrieval solutions using vibe coding.
Module 6: AI Agents Mastery – Setup & Comparison
Install and configure OpenClaw and Hermes Agents.
Compare strengths and use cases of different AI agent frameworks.
Use vibe coding to customize and extend agent capabilities.
Module 7: Building News Monitoring Agents
Build autonomous agents capable of web data extraction and monitoring.
Create scheduled news fetching systems with structured data output.
Apply browser automation skills using OpenClaw.
Module 8: End-to-End AI Applications with Vibe Coding
Develop full-stack applications (frontend + backend + database) using vibe coding.
Integrate AI agents with web applications.
Build a functional News Sentiment Dashboard.
Module 9: Intelligent Automation with n8n
Design visual automation workflows using n8n.
Connect AI agents to n8n for complex multi-step processes.
Build end-to-end pipelines: fetch → analyze → alert.
Module 10: Cloud Deployment & Production Best Practices
Deploy AI agents and full applications on Microsoft Azure.
Implement cost control, monitoring, security, and rate-limiting strategies.
Productionize vibe-coded applications for real-world use.
Present a complete, deployed News Intelligence System.
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