Domain-Specific Prompting
Learn to tailor prompts for specific domains: generating text, writing code, creating images with tools like Midjourney, and performing data analysis.
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Advanced Prompting Techniques
Advanced prompt engineering techniques like Chain-of-Thought (CoT), RAG, Self-Consistency, System Messages, and Function Calling for complex tasks.
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Core Principles of Effective Prompting
Core principles of effective prompting: clarity, precision, context, structure, examples (few-shot), formatting, and focus for better AI results.
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Understanding AI Model Architectures
Explore how AI architectures (Transformers, Diffusion models) influence prompt engineering. Learn context windows & tailor prompts for GPT, Claude, Midjourney.
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Chapter 1: Introduction to Prompt Engineering
Learn the fundamentals of prompt engineering for AI models like GPT-4. Understand why prompting matters, its rise, and how it differs from traditional coding.
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Using AI for Predictive Maintenance in Edge Devices
Using AI for Predictive Maintenance on edge devices reduces downtime by 15%. Learn how edge computing transforms industrial equipment maintenance.
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Programming with Python | Chapter 25: Capstone Project
Integrate your Python skills in a capstone project. Get ideas (data analysis, games, APIs), learn planning steps, and apply OOP, file handling, testing etc.
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Programming with Python | Chapter 24: Introduction to GUI Programming with Tkinter
GUI basics with Python’s Tkinter. Create windows, use widgets (Label, Button, Entry), manage layouts (pack, grid), handle events, and get user input.
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Programming with Python | Chapter 23: Working with APIs and the requests Library
Understand web APIs (REST, HTTP). Use Python’s requests library to make GET/POST requests, handle responses (status codes, JSON), pass parameters, and send data
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Programming with Python | Chapter 22: Working with CSV and JSON Data
Learn to read/write CSV files using Python’s csv module (reader/writer, DictReader/Writer) and handle JSON data with the json module (load/dump, loads/dumps).
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