PickAClass · AI, Tech & Engineering · Generative AI & Deep Learning

Prompt Engineering for LLMs

Master the art and science of crafting effective prompts to guide Large Language Models (LLMs) for various tasks, from content generation to complex reasoning. Learn techniques like zero-shot, few-shot, and chain-of-thought prompting.

Prompt Engineering for LLMs

Engineering System Prompts for Specialized AI Agents

Building Scalable Authorization Systems with CASL

Client-Side AI Engineering: Schema Design and Interface Integration

Elm Programming Foundations: Mastering Maybe and Pipelines

Structured Elm Programming for Web Applications

Foundations of Elm: Build Reliable Web Applications

Prompt Engineering for Software Development

YAML Syntax and Configuration Essentials

Cellular Network Problem Solving for System Design Interviews

Kubernetes ConfigMaps: Practical Application Configuration

Software Architecture Foundations: Analyzing Big Design Issues

Introduction to Computer Input Channels in HCI

Kubernetes ConfigMaps: Core Concepts and Self-Assessment Quizzes

Foundations of Reactive Modeling and Programming

Word-Game Algorithms and Coding Interview Patterns

Command Line Basics: Master Essential Terminal Commands

Creating Custom CLI Commands and Shell Shortcuts

Kanban System Design: Practical Exercises and Core Principles

Plagiarism Checker Design: Key Algorithms and Interview Prep

Structuring LLM Prompts: Designing Inputs for Reliable AI Outputs

ML System Design: Asking the Right Clarifying Questions

Model-Guided Prompting for Better AI Responses

Pushdown Automata to Context-Free Grammars: The General Conversion

Chain of Thought Prompting: Structured AI Reasoning for Beginners