#1 - Prompt Mastery:
With the help of practical examples shown in the course videos, individuals can learn how to create precise and effective prompts. This enables them to get the quality of output they desire.
#2 - Analyst Commentary And Report Generation:
The instructor in the course videos explains how one can leverage AI assistants to automate the task of creating financial reports. Through the course, one can also learn to use AI agents and automate the task of transforming raw financial data into key narrative insights.
#3 - Build AI Agents With Memory Enhancement Features:
With AI-driven engineering, it is possible to develop stateful AI agents that have the capability to store previous queries and users’ preferences in their memory. Thus, these agents can provide customized insights that can better align with individuals’ requirements when the latter provides updated financial data or information.
#4 - AI Data Collection And Research:
Find out how to make AI agents pull data from platforms like Yahoo Finance and SEC Edgar in real time. This automates the data collection process, which helps save time on research and allocate more time for tasks that require more attention.
#5 - Collaboration of Different AI Agents:
Individuals can develop a practical understanding of how to use ChatGPT and Python for creating multiple AI agents, for example, a writer agent and a researcher agent. These AI agents can work collaboratively and automate tasks and entire workflows.
#6 - Combine Financial And AI Tools:
This course also teaches individuals how they can use both AI-powered solutions and financial tools together to create charts, track the performance of assets, and provide key information in real time.
By enrolling in the Agentic AI Engineering Course, individuals can learn how to develop AI agents that can work collaboratively and facilitate the automation of complete workflows that involve multiple tasks in finance. Videos include practical examples that show learners how to create great prompts that guide genAI tools in generating the output that meets the user’s requirements. Moreover, through this course, one can learn how to make AI agents source data from trustworthy platforms like Yahoo Finance. This reduces the research time for finance professionals significantly.
Besides these, one can learn to develop AI agents that have the ability to retain what users prefer and the past data provided to them. This plays a key role in generating outputs that are personalized and better align with what the user is seeking.