About this course
Understand core LLM and chatbot concepts, including prompt tuning, reasoning claims and common failure modes. This free IBM video course combines model explanations with chatbot design questions. It helps beginners distinguish useful capabilities from risks such as hallucination and poisoned source material.
What you can learn
- LLM concepts
- Prompt tuning
- Chatbot design
- Hallucination awareness
- Open-source model choices
- Model risk assessment
Course at a glance
| Provider | IBM |
|---|---|
| Platform | YouTube · IBM Technology |
| Access | Free Video |
| Level | Beginner — WikiFree audience assessment |
| Language | English |
| Selected lessons | 12 |
| Video duration | 1h 35m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Inside the course
Explore prompt tuning and language-model risks, then consider translation, zero-shot reasoning and open-source choices. The chatbot lessons explain when AI is useful and how corpus poisoning can affect a system's behavior.
Try this learning exercise
Write a chatbot brief for answering questions about a fictional service. Define allowed sources, uncertainty responses and escalation rules, then create five questions that would test whether answers stay within those boundaries.
How to follow the course
Choose a lesson from the list or search for a specific topic. Use Previous and Next to continue, and mark lessons complete as you go. Progress is saved in this browser without a WikiFree account.
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Free access, requirements and certificates
The selected public YouTube videos are free to watch. No paid subscription, payment card or examination is required for this video learning path. WikiFree independently organizes IBM Technology explainers and tutorials for self-paced study. This listing is not an official IBM qualification and does not include an IBM certificate, graded assignment or instructor feedback.
No programming experience is required. The course does not provide a chatbot hosting service or promise that model outputs will be accurate.
Official IBM Technology playlist source ↗
Use this course in a learning path
- Free AI & ChatGPT Learning Path for WorkCourse resource in this path
Related courses for your next step
- Compare another approachGoogle Introduction to Large Language Models: Free LLM Course
Focus: LLM terminology · Language-model use-case analysis
Beginner - Compare another approachGen AI Beyond the Chatbot: Free Google Course
Focus: AI vocabulary · Use-case framing
Beginner - Explore a higher-level optionPrompting with Google Workspace: Free Google Micro-Lesson
Focus: Prompt framing · Context selection
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free LLM and Chatbot Course: Prompting, Reasoning and Risks | Beginner | LLM concepts · Prompt tuning · Chatbot design | 1h 35m of video; practice time is additional |
| Google Introduction to Large Language Models: Free LLM Course | Beginner | LLM terminology · Language-model use-case analysis · Prompt-tuning concepts | 1 hour; official estimated study time, individual pace varies. |
| Gen AI Beyond the Chatbot: Free Google Course | Beginner | AI vocabulary · Use-case framing · Strategy questions | 1 hour 30 minutes; official estimate, individual study time varies. |
| Prompting with Google Workspace: Free Google Micro-Lesson | Intermediate | Prompt framing · Context selection · Iterative editing | 10–15 minutes; official card shows 10 minutes and structured data shows 15. Individual study time varies. |
Provider: IBM. Videos play from the IBM Technology channel on YouTube.
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