AI Research Playbook: Transformers, LLMs, Optimizers, Open Source (Video Course) is a certification that takes you from the basics to the frontier with a hands-on path,learn the math that makes models tick, build Transformers and optimizers from scratch, speed up training, and use open-source workflows to run clean experiments and ship results that count. Along the way, you'll build skills that drive Increased Productivity, deliver a real Competitive Advantage, support Improved Decision-Making, and set you up for a Future-Proof Career, Higher Income Potential, and Adaptability and Growth. Enroll today to get a clear, practical playbook you can put to work on real research and engineering projects right away.
This certification covers the following topics:
- Transformers and LLM internals: attention, training pipelines, and from-scratch implementations
- Optimizers and ill-conditioned landscapes: SGD, Adam, adaptive methods, and stability tricks
- Training efficiency: mixed precision, batching, gradient checkpointing, and profiling
- Experiment design and reproducibility: clean setups, ablations, tracking, and version control
- Hyperparameter optimization: search strategies, scheduling, and practical heuristics
- Information theory essentials for modeling, compression, and evaluation intuition
- Advanced architectures: hyperconnections, engram memory, and when to apply them
- State space models and GNNs: trade-offs, strengths, and use cases
- Reinforcement learning essentials for language and decision-making tasks
- Open-source workflows: tooling, collaboration, and high-quality contributions
- Case study: community-driven LLM development (Blueberry-style)
