technifyed

IBM via Coursera Learning path or series

Generative AI for Business Analysts

Overview

Generative AI (GenAI) can boost your productivity by 66% (WEF). It’sa game-changer for business analysts keen to excel! This specialization gives you the skills to use GenAI across the entire business analysis lifecycle—from requirements gathering to stakeholder communication, data analysis, and process optimization. No prior AI experience is required.

During this specialization, you’ll explore the practical application of GenAI to common business analysis challenges, and learn to automate routine tasks, generate higher-quality deliverables, and provide more insightful analysis. You’ll work with AI tools like ChatGPT, Gemini, and Copilot and learn to craft effective prompts that yield reliable, high-quality outputs. Additionally, you’ll look at responsible AI implementation, addressing critical considerations such as data privacy, maintaining appropriate human oversight, and navigating organizational resistance to change.

You’ll dive into how GenAI can enhance requirements analysis, data analysis, process modeling, stakeholder communication, and strategic decision support. Plus, while identifying relevant use cases, you’ll get hands-on experience leveraging GenAI to streamline your daily workflows and increase the impact of your work.

If you’re keen to future-proof your business analytics career and build highly sought-after GenAI skills that will revolutionize how you work straight away, enroll today!

Courses in this learning path or series 3

  1. Generative AI: Introduction and Applications
  2. Generative AI: Prompt Engineering Basics
  3. Generative AI: Revolutionizing Business Analysis Techniques

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From IBM, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (3 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · edX

Exercising Leadership: Foundational Principles

4.71,590 ratings

Mobilize people to tackle tough problems and build the capacity to thrive through the dangers of change

Free to audit4 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Massachusetts Institute of Technology · YouTube

MIT MAS.S62 Cryptocurrency Engineering and Design, Spring 2018

Instructor: Neha Narula, Tadge Dryja View the complete course: https://ocw.mit.edu/MAS-S62S18 YouTube Playlist: https://www.youtube.com/playlist?list... This course looks at the design of Bitcoin and other cryptocurrencies and how they function in practice, focusing on cryptography, game theory, an…

Free video20 videos, 25 hours

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · YouTube

CS50 Fall 2023 - Artificial Intelligence (live, unedited)

*** This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. *** TABLE OF CONTENTS 00:00:00 - Welcome 00:14:13 - Introduction 00:16:25 - Image Generation 00:21:38 - ChatGPT 00:24:18 - Prompt Engineering 00:25:52 - CS50.ai 00:32:…

Free video1 hour

Enter your email and the official page opens. Phone is optional.