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FROM FIRST IDEAS TO EXPERIMENTAL RESEARCH

Explore the road ahead.

15 proposed courses, 58 modules and 168 lesson destinations. All 168 live lessons are linked below; the remaining destinations are planned. You don’t need to take every course in order.

These are expanded catalog placements. Existing lessons retain their original course navigation, projects and saved progress. A live lesson may still need additions for its expanded outcome.

Choose a starter pathBrowse the existing two courses
C01 · 9 EXISTING LESSONS · 9 PROPOSED

AI Data and Decisions

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Questions and examples

Evidence and uncertainty

Responsible choices

C02 · 11 EXISTING LESSONS · 11 PROPOSED

Classical Machine Learning

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Simple models and useful baselines

Tree ensembles

Learning without labels

Model selection on real data

C03 · 13 EXISTING LESSONS · 13 PROPOSED

Neural Networks Training and Debugging

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One neuron learning

Representations and gradients

Optimization in practice

Keeping learning stable

Generalization and independent debugging

C04 · 14 EXISTING LESSONS · 14 PROPOSED

Perception and Representations

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Objects as numbers

Visual encoders

Signals and sequences

Learning and connecting features

Objects scenes and spatial evidence

C05 · 12 EXISTING LESSONS · 12 PROPOSED

Language Models and Adaptation

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Tokens attention and architecture

Training and data

Adapting and aligning behavior

Using and testing language models

C06 · 8 EXISTING LESSONS · 8 PROPOSED

Generative Models Beyond Text

Project 6 · A controlled generative experiment — saved matched snapshots and report; five separate transfer cases; human review pending.

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Latent variables and reconstruction

Noise flows and conditioning

Alternative objectives and evaluation

C07 · 9 EXISTING LESSONS · 9 PROPOSED

Search Probability and Reasoning

Project 7 · A planner with uncertain observations — saved search and belief comparisons, four separate transfer cases; human review pending.

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Search and explicit constraints

Reasoning under uncertainty

Track what is hidden

Other agents and causal questions

C08 · 12 EXISTING LESSONS · 12 PROPOSED

AI Applications Tools and Agents

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Tasks and execution

Working state retrieval and evidence

Plans and resources

Whole-system evaluation

C09 · 9 EXISTING LESSONS · 9 PROPOSED

AI Engineering Deployment and Operations

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Packaging and resource use

Data and software lifecycle

Monitoring and release decisions

C10 · 14 EXISTING LESSONS · 14 PROPOSED

Reinforcement Learning and Learned Decisions

Project 10 · Train and evaluate a reward-learning agent — saved three-seed comparisons, frozen evaluation and five separate transfer cases; human review pending.

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Actions values and observations

Learning from existing experience

Practical neural reinforcement learning

Offline data and final evaluation

C11 · 12 EXISTING LESSONS · 12 PROPOSED

Control Geometry and Robotics Foundations

Project 11 · A verified simulated controller — saved control, trajectory and runtime evidence, four separate transfer cases; human review pending.

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Geometry and reachable motion

Feedback and dynamics

State estimation and contact

Trajectories and independent checks

C12 · 12 EXISTING LESSONS · 12 PROPOSED

World Models and Predictive Planning

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Learning dynamics

Rollouts and planning

Latent state and partial observations

Imagination and transfer

C13 · 9 EXISTING LESSONS · 9 PROPOSED

Robot Learning and Embodied AI

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Demonstrations and action sequences

Generative and instruction-conditioned policies

Robustness and embodiment

C14 · 12 EXISTING LESSONS · 12 PROPOSED

Adaptive and Coordinated AI Systems

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Practice and retained skills

Adapting across tasks

Training connected components

Coordination and controlled change

C15 · 12 EXISTING LESSONS · 12 PROPOSED

Experimental AI Research

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Questions and evidence

Reproduction and measurement

Research frontiers

Independent study and review