Cursussen
2891 Cursussen
GenAI For Business Analysis: Fine-Tuning LLMs
Title: GenAI For Business Analysis: Fine-Tuning LLMs
Description: In this 2-hour project, you'll learn how to fine-tune the GPT-3.5 model using the OpenAI API in Python. You are an AI engineer employed by PulseNet, a telecommunications company that provides internet, television, and phone services. PulseNet operates with a large customer base.
Coursera
GenAI for Data Analysis : OpenAI Assistant API
GenAI for Data Analysis: OpenAI Assistant API
In this 2-hour long project-based course, you will learn how to create an AI Assistant using the OpenAI API. You have been contacted by ToyTrends, an online retail store, to develop an advanced AI assistant capable of conducting insightful data analysis on their sales data. ToyTrends has supplied you.
Coursera
Evaluating Large Language Model Outputs: A Practical Guide
Evaluating Large Language Model Outputs: A Practical Guide
This course addresses evaluating Large Language Models (LLMs), starting with foundational evaluation methods, exploring advanced techniques with Vertex AI's tools like Automatic Metrics and AutoSxS, and forecasting the evolution of generative AI evaluation.
Ideal for AI Product Managers.
Coursera
IBM Data Analyst
IBM Data Analyst
Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months. Data analysis is the process of collecting, storing, modeling, and analyzing data that can inform executive decision-making, and the demand for s.
Coursera
GenAI for Data Analysts
GenAI for Data Analysts
"GenAI for Data Analysts" explores the revolutionary impact of Generative AI on data analysis. This course offers a comprehensive introduction to GenAI's capabilities and practical strategies for integrating these powerful tools into everyday data analysis tasks. Through discussions, video de.
Coursera
GenAI for Market Research Analysts
GenAI for Market Research Analysts
GenAI for Market Research Analysts is a comprehensive exploration of how Generative Artificial Intelligence (GenAI) is revolutionizing the field of market research. This course offers an in-depth understanding of the capabilities of GenAI in this domain and provides practical strategies for leveraging.
Coursera
Navigating Generative AI for Leaders
Navigating Generative AI for Leaders
Navigating Generative AI for Leaders
Created by a CEO for CEOs, this program is your key to unlocking the transformative power of GenAI. It features hands-on labs with access to Google Gemini Pro in a secure, private environment. These labs not only teach you how to use GenAI but also how to apply it to design.
Coursera
Understanding Large Language Models in Business
Understanding Large Language Models in Business
This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners can review and acquire con.
Coursera
Generative AI for Project Managers
Generative AI for Project Managers
Generative AI knowledge is now an essential skill in project management. According to Business 2 Community, 93% of companies that invest in AI for project management report a positive return on investment. Additionally, generative AI can improve the success rate of projects by around 25%. Reflectin.
Coursera
Coursera
Generative AI for Developers
Generative AI for Developers
Generative AI for Developers
Unlock the future of coding with generative AI, and excel your programming skills and deepen your understanding of AI’s transformative power. Perfect for you to integrate advanced AI tools into your workflows, with a blend of technical mastery and ethical insight, ensuring you stay at the.
Coursera
Responsible AI for Developers
This specialization equips developers with the essential knowledge and skills to build responsible AI systems by applying best practices of Fairness, Interpretability, Transparency, Privacy, and Safety.
Identify and Mitigate Bias: Learn to recognize and address potential biases in your machine learning models to mitigate fairness issu.
Coursera