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- How AI Systems Are Built
Learn the core workflow of AI systems—from how raw data is collected and processed to how models identify patterns and make predictions.
20 Mar 2026 - Where Programming Languages Fit in AI
Learn how different programming languages power each stage of the AI pipeline, from data handling to user interfaces.
20 Mar 2026 - Programming Function Design and Dry-Run Loop
Learn a practical beginner workflow: define a function contract, implement logic, and validate with dry runs.
24 Feb 2026 - Basic Concept of AI Decision Loop
Practice how an AI agent turns observations into actions using a feedback loop.
21 Feb 2026 - Large Language Model Token Generation Pipeline
Understand how prompts become tokens and then model-generated responses.
21 Feb 2026 - Prompt Engineering Iteration Loop
Learn to design prompts by iterating through objective, constraints, examples, and testing.
21 Feb 2026 - Data Science Clean-to-Insight Pipeline
Practice the basic data science flow from raw data to actionable insight.
21 Feb 2026 - Machine Learning Training Loop
Understand the end-to-end loop for training, validating, and improving an ML model.
21 Feb 2026 - Programming Problem-Solving Workflow
Learn the core programming flow from problem definition to tested solution.
21 Feb 2026
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