GenAI for Marketing Content Agents: Prompt Engineering, RAG, and Fine-Tuning

Master the art of building AI-powered marketing content agents using prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning techniques to revolutionize your content creation workflow.

...

Fundamentals of GenAI for Marketing

Unit 1: Introduction to GenAI

Unit 2: Large Language Models (LLMs)

Unit 3: Components of a GenAI Content Agent

Unit 4: Ethics and Responsible AI

Prompt Engineering for Marketing Content

Unit 1: Prompt Engineering Fundamentals for Marketing

Unit 2: Crafting Prompts for Different Marketing Formats

Unit 3: Advanced Prompting Techniques

Retrieval-Augmented Generation (RAG) for Real-Time Marketing Data

Unit 1: RAG Fundamentals for Marketing

Unit 2: Connecting to Data Sources

Unit 3: Building Knowledge Graphs

Unit 4: Privacy and Security

Fine-Tuning LLMs for Marketing Content

Unit 1: Dataset Preparation for Marketing LLMs

Unit 2: Fine-Tuning Techniques for Marketing LLMs

Unit 3: Evaluation and Optimization

Evaluating and Optimizing Content Quality

Unit 1: Automated Metrics for Content Evaluation

Unit 2: Human Feedback Loops and A/B Testing

Unit 3: Monitoring and Continuous Improvement

Building and Integrating a GenAI-Powered Content Agent

Unit 1: Architecting Your GenAI Content Agent

Unit 2: Developing APIs and Interfaces

Unit 3: Automating Content Workflows

Unit 4: Scaling and Optimization