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Overview
This Generative AI for Data Analysts Specialization is offered by Coursera in partnership with IBM. he demand for professionals with a knowledge of artificial intelligence (AI) is on the rise. There is a revolution in the way organizations make decisions on the basis of generative AI data analysis. This specialization brings forth real-world generative AI use cases and popular generative AI models and tools for text, code, image, audio, and video generation.
Key facts
- In this specialization, you will delve into generative AI prompts engineering concepts and real-world business uses. Learn about prompt techniques like zero-shot and few-shot and explore various prompt engineering approaches, and tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.
- Next enhance your skills with an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications, with regards to the data analytics landscape.
- Learn about the building blocks and foundation models of generative AI, such as the GPT, DALL-E, and IBM Watson Studio. Additionally, you will understand the ethical implications, considerations, and challenges while using generative AI in different industries.
- The hands-on labs included in the course offer an opportunity to apply different tools in the IBM Generative AI Classroom. You will apply the concepts learned in the course in a real-life project scenario at the end of the course.
Skills you'll gain
- Artificial Intelligence (AI)
- Data Analysis
- Prompt Engineering
- prompt patterns
- Generative AI
- Querying Databases
- Data Generation
- Data Augmenting
- ChatGPT
- Large Language Models (LLM)
- Natural Language Generation
Programme Structure
Courses included:
- Generative AI: Introduction and Applications
- Generative AI: Prompt Engineering Basics
- Generative AI: Enhance your Data Analytics Career
Key information
Duration
- Part-time
- 2 months
- 2 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning View 127 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- No experience necessary, but some data analytics knowledge will be helpful.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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