Prompting Techniques for Classification and Summarization Tasks
Course Description
Large language models (LLMs) are incredibly powerful, but they're only as good as the prompts you give them. This focused, hands-on course from IBM teaches you how to craft prompts that get accurate, reliable results specifically for two of the most common real-world tasks: classification and summarization.
Classification means sorting text into categories (for example, identifying whether a customer email is a complaint, a question, or a compliment). Summarization means condensing long documents into clear, concise summaries without losing key information. You'll learn proven techniques like few-shot prompting, chain-of-thought, and structured output formatting to dramatically improve the quality of LLM responses.
This free, self-paced course takes about 2-3 hours to complete and includes video lessons, interactive labs, and real-world examples. You'll practice with IBM's AI tools (no installation required). Upon completion, you'll earn an official IBM Skills Badge to showcase your prompting expertise.
Course Provider
Provider: IBM Skills, the official learning platform for IBM technologies and professional development.
Platform: IBM Your Learning portal – fully online, self-paced, with integrated hands-on labs using IBM's AI tools.
Accreditation: IBM Skills Badges are recognized globally by employers as proof of proficiency in specific AI and tech skills. The badge can be shared on LinkedIn and added to your resume.
Course Syllabus
Learning Objectives
- Craft effective prompts for classification tasks (sorting text into categories).
- Design prompts that produce accurate, consistent summaries of any length.
- Use few-shot prompting and examples to improve LLM performance.
- Apply chain-of-thought prompting for complex reasoning tasks.
- Format LLM outputs as structured data (JSON, tables) for downstream applications.
- Iterate and refine prompts based on real-world results.
- Earn an IBM Skills Badge to demonstrate your prompting expertise.
Course Prerequisites
Technical: Basic familiarity with AI chatbots (like ChatGPT, or IBM watsonx) is helpful but not required. No coding needed.
Language: The course is in English. Intermediate English reading comprehension is recommended.
Who should take this: Data analysts, business analysts, content managers, developers, researchers, or anyone who regularly works with text data and wants to automate classification or summarization tasks using LLMs.
User Reviews
"I've been using ChatGPT for months, but my prompts were hit or miss. This course taught me specific techniques for classification and summarization that work every time. The few-shot prompting module alone saved me hours of manual work. The IBM badge is a nice bonus. Highly recommended for anyone who uses LLMs seriously."
"Very practical and hands-on. I loved the real-world case studies—especially the customer support ticket classification example. The hands-on lab with IBM's tools was smooth and didn't require any setup. Only critique: I wish it covered a bit more on handling ambiguous classifications. Still, excellent value for a free course."
"As a content manager, I need to summarize dozens of long reports every week. This course taught me how to craft prompts that produce exactly the summary format I need. I've cut my summarization time by 80%. The IBM badge also impressed my boss. Thank you IBM!"
Based on 850+ ratings on IBM Skills.
💡 Final Thoughts
Prompt engineering is becoming an essential skill in the age of AI. But most people just guess their prompts and accept whatever the LLM gives back. This IBM course teaches you the difference between amateur prompting and professional prompting. You'll learn specific, repeatable techniques for two of the most valuable AI tasks: sorting text into categories and condensing long documents into clear summaries. The course is focused, practical, and can be completed in an afternoon. The IBM Skills Badge is a credible credential on LinkedIn. If you use AI at work—or want to—this course will pay for itself in time saved. Highly recommended.
Prompting Techniques (IBM) – FAQ
Is this course really free?
Yes, completely free. IBM Skills offers this course at no cost. You just need to create a free IBM account (or sign in with an existing one). No payment required.
Do I need coding experience?
No. This course focuses on natural language prompting. No programming required.
What's the difference between this and a general prompt engineering course?
This course is laser-focused on classification and summarization, two specific, high-value tasks. You'll go deep on techniques that work for these use cases, rather than a broad overview of all prompt engineering.
Will I get a certificate or badge?
Yes, upon completing the course and passing the final assessment, you'll earn an official IBM Skills Badge. You can share it on LinkedIn, add it to your resume, or include it in your professional portfolio.
Do I need access to IBM's AI tools?
The course includes hands-on labs using IBM's AI playground, which runs in your browser. No installation or paid subscription required.
How long do I have to complete the course?
IBM Skills courses are self-paced. Once you enroll, you typically have ongoing access, though it's best to check the specific course page for any time limits.