Description

Maximize the potential of generative AI by using advanced prompt engineering techniques. This prompt engineering training is perfect for anyone who wants to enhance their AI skills. Learn techniques such as chain-of-thought prompting, meta-prompting, and agentic AI. Participants gain practical experience through hands-on labs, enabling them to apply these techniques to improve AI performance, drive innovation, and solve complex problems.

Skills Gained

By the end of this course, participants will be able to:

Maximize GenAI results with advanced prompt engineering
Apply chain-of-thought and step-based prompting to solve complex problems
Apply meta-prompting to direct specific outputs and improve AI performance
Improve agentic AI capabilities through specific prompting strategies

Who Can Benefit

Anyone interested in learning prompt engineering, including business users, managers, data analysts, data scientists, developers, and more.

Course Overview

Understanding Generative AI

Defining Intelligence and Artificial Intelligence
Mechanisms and Functions of AI
Overview of Large Language Models and Tokenization
Importance and Role of Embeddings
LLM Training and Settings
Exploration of Generative AI Architecture
Benefits, Challenges, and Common Frameworks

Prompting with Examples

Introduction to Example-based Prompting
Zero-Shot and Few-Shot Prompting Overview
Comparison of Prompting Techniques
Diversity and Use Cases in AI Responses
Challenges and Best Practices with Examples

Chain-of-Thought and Step-Based Prompting

Introduction to Chain-of-Thought Prompting
Variants and Comparisons of CoT
Step-Back, Logic, and Narrative of Thought Techniques
Emergent Techniques and Examples

Meta-Prompting and Reflective Prompting

Characteristics and Examples of Meta-Prompting
Benefits and Challenges of Prompt Chaining
Introduction to Reflective Prompting
Task Decomposition and Applications of Reflexion
Feedback Loop in Reflective Prompting

Prompting Agentic AI

Introduction to Agentic AI
Comparison with Traditional AI
AI Agent Prompt Structure and Tool Use
Techniques for Memory and Context Integration
Goal-Oriented Tasks and Enhancing Agentic AI

Advanced Prompting Techniques

Introduction to Advanced Prompting Techniques
Ensembling and Code Prompting Methods
Definitions and Applications of Self-Consistency
Self-Criticism and Other Emerging Techniques
Plan and Solve Approach

Foundations of Prompt Engineering Virtual Classroom Live May 27, 2026

Price: $1,600

Enroll today to reserve your spot!

Description

Course Overview

Understanding Generative AI

Prompting with Examples

Chain-of-Thought and Step-Based Prompting

Meta-Prompting and Reflective Prompting

Prompting Agentic AI

Advanced Prompting Techniques

Prerequisites

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