OnlineAnthropos AI Academy
Deep Learning
A decision-framework deep learning course for engineers. Choose PyTorch vs TensorFlow, judge depth vs classical ML, weigh transfer learning, and reason about CNNs. 7 chapters.
Prezzo su richiestaScopri
OnlineAnthropos AI Academy
OpenAI Codex
- Modalità
- Online
- Lingua
- en
- Livello
- practitioner
Il corso
Ship code faster with OpenAI Codex across CLI, IDE, desktop, and cloud tasks. Learn pro flows, cost control, and memory. 5 chapters, practitioner, for engineers.
Identità del corso
- Materie
openai codex course, how to use openai codex, codex cli tutorial, codex coding agent, openai codex for developers, codex cloud tasks, codex cost control, ai pair programming course, codex ide extension
- Livello
practitioner
- Lingua
en
Programma e obiettivi
- Obiettivi
- Run OpenAI Codex across the CLI, desktop app, IDE extension, and cloud tasks
- Build pro flows with skills, subagents, and cloud tasks to scale Codex output
- Govern Codex spend with model routing, reasoning effort, ChatGPT tiers, and caching
- Design persistence and memory so context survives between Codex tasks
- Choose the right Codex surface (CLI, IDE, cloud) for each coding task
- Estimate and reduce per-task Codex pricing across CLI and Cloud
- Programma
- Url: https://aiacademy.anthropos.work/chapters/codex-intro/ · Codex Skill Path: Intro · Position: 1 · Orientation to the Codex skill path — what it is, how the four chapters fit together, and where to start
- Url: https://aiacademy.anthropos.work/chapters/codex-essentials/ · Codex Essentials · Position: 2 · From zero to productive — master OpenAI's coding agent across CLI, app, IDE, and cloud
- Url: https://aiacademy.anthropos.work/chapters/codex-pro-flows/ · Codex Pro Flows · Position: 3 · Skills, subagents, cloud tasks, and power-user patterns that maximize your Codex output
- Url: https://aiacademy.anthropos.work/chapters/codex-cost-control/ · Codex Cost Control · Position: 4 · Govern Codex spend across CLI and Cloud — model routing, reasoning effort, ChatGPT tiers, per-task pricing, and caching that actually pays off
- Url: https://aiacademy.anthropos.work/chapters/codex-memory-mastery/ · Codex Memory Mastery · Position: 5 · Design persistence for Codex across CLI, IDE, desktop, and Cloud — every layer that decides what survives between tasks
- Competenze acquisite
- Run OpenAI Codex across the CLI, desktop app, IDE extension, and cloud tasks
- Build pro flows with skills, subagents, and cloud tasks to scale Codex output
- Govern Codex spend with model routing, reasoning effort, ChatGPT tiers, and caching
- Design persistence and memory so context survives between Codex tasks
- Choose the right Codex surface (CLI, IDE, cloud) for each coding task
- Estimate and reduce per-task Codex pricing across CLI and Cloud
Edizioni
- Edizioni
Course Mode: online · Course Workload: PT100M · Mode: online
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