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LangChain Fundamentals
ai-tools-lab
9 lessons
LangChain Fundamentals
Track: ai-tools-lab Tier: starter
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Course Lessons
Progress
0% — 0/9
1
What it is and when to use it
Positioning, strengths, limitations, and common mistakes.
2
Learning outcomes
- Explain the primary use cases for LangChain. - Choose the right tool for a job and justify the cho…
3
Project
Create a one-page 'tool brief' for LangChain: use cases, inputs/outputs, do/don’t, and an example wo…
4
Guided tutorial
A short, practical walkthrough using the free/trial tier.
5
Learning outcomes
- Complete a guided setup and first output. - Iterate to improve quality using constraints and feedb…
6
Project
Build a 60–90 minute mini-project using LangChain on a free/trial plan: define a goal, produce an ar…
7
Paid tier leverage
Understand premium features and when they’re worth it.
8
Learning outcomes
- Identify premium features that matter for your goals. - Estimate ROI and decide when to upgrade.
9
Project
Paid upgrade exploration: identify 3 premium capabilities in LangChain (higher limits, better models…