Artificial Intelligence
Large language models, prompt engineering, RAG systems, and AI tools for productivity.
This section covers modern AI, particularly large language models (LLMs) like GPT and Claude. You'll learn prompt engineering for effective AI interactions, how to build RAG (retrieval-augmented generation) systems that use your own documents, and how to leverage AI tools in your data science workflow.
The Current AI Landscape
Large language models have transformed what's possible with AI. They can write code, analyze documents, answer questions, and automate tasks that previously required human judgment. Understanding how to work with these tools is becoming essential for knowledge workers.
What You'll Learn
You'll learn to write effective prompts that get better results from AI models. You'll build RAG systems that let AI work with your own documents and data. And you'll learn to use AI coding assistants to accelerate your development work.
AI Applications in Finance
Financial services firms are actively exploring AI for research automation, document analysis, customer service, and code generation. This section covers practical applications: how to use AI to summarize earnings calls, analyze contracts, generate reports, and augment your analytical work.
Courses
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