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

Building Interactive CLI Applications with Go and Termdash

Prompt Engineering and Management on AWS Bedrock

Building a gRPC Text Processing System: Hands-On RPC Patterns

Designing Effective Prompts: Fundamentals of Prompt Engineering

Prompt Engineering Fundamentals for Effective AI Outputs

Beego Framework and Bee CLI: A Practical Guide with Self-Assessments

Go Programming: Building a Command-Line Quiz Application

Prompt Versioning and Evaluation for Reliable AI Systems

Connecting LLMs to the Real World: Function Calling and Tool Integration

Model Context Protocol: Building Prompts for Single-Server MCP

Prompting AI for Software Features and Data

Secure Prompt Engineering for LLM Applications

NgRx State Management: Beyond the Basics

Prompt Engineering: Crafting Effective AI Prompts

Prompt Engineering for Specific Tasks

LLM Prompt Injection: Understanding and Preventing Attacks

Prompt Engineering: Control LLM Behavior with Parameters

Foundational AI Engineering for LLM Interviews

Effective Prompting with Zero-Shot and Few-Shot Techniques

Prompting AI Agents in MCP Applications

Go CLI Testing: Build and Test a Word Counter

Precision Prompt Engineering for AI Code Generation

Prompt Engineering and In-Context Learning for AI Systems

Learning How to Learn: Modern Study Skills and Memory Techniques