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.
OnlineAnthropos AI Academy
AI Adoption & Change Management
- Modalità
- Online
- Lingua
- en
- Livello
- practitioner
Il corso
Make AI actually stick across your team: run the 5-stage rollout playbook, build a champion network, and track the 4 metrics that matter. 4 chapters, practitioner, for leaders.
Identità del corso
- Materie
AI adoption course, AI change management, how to drive AI adoption at work, AI adoption playbook, building AI champions, measuring AI adoption, AI rollout strategy, scale AI across an organization, AI adoption metrics, change management for AI
- Livello
practitioner
- Lingua
en
Programma e obiettivi
- Obiettivi
- Run a stage-by-stage AI rollout from pilot to org-wide scale using the five adoption stages
- Diagnose and respond to the resistance patterns that stall AI rollouts
- Recruit, enable, and sustain a network of AI champions with toolkits and rotation models
- Prevent champion burnout while keeping grassroots momentum
- Pick the four adoption metrics that drive behavior and cut the four vanity metrics that mislead
- Use leading indicators to decide when an AI rollout has actually succeeded
- Embed AI into daily team rituals so usage holds after the launch push
- Programma
- Url: https://aiacademy.anthropos.work/chapters/adoption-ai-intro/ · AI Adoption & Change Management · Position: 1 · Why rollouts fail, how to make AI stick, and the operational playbook from pilot to scale
- Url: https://aiacademy.anthropos.work/chapters/adoption-playbook/ · The AI Adoption Playbook · Position: 2 · Stage-by-stage operational model from pilot to scale — the five adoption stages, resistance patterns, and the grassroots tactics that make AI stick
- Url: https://aiacademy.anthropos.work/chapters/adoption-champions/ · Building AI Champions · Position: 3 · Find, enable, and sustain the grassroots layer — champion profiles, toolkits, burnout prevention, and rotation models
- Url: https://aiacademy.anthropos.work/chapters/adoption-measuring/ · Measuring AI Adoption · Position: 4 · Leading indicators, behavior-driving metrics, and when to declare success — the four metrics that matter and the four vanity metrics to kill
- Competenze acquisite
- Run a stage-by-stage AI rollout from pilot to org-wide scale using the five adoption stages
- Diagnose and respond to the resistance patterns that stall AI rollouts
- Recruit, enable, and sustain a network of AI champions with toolkits and rotation models
- Prevent champion burnout while keeping grassroots momentum
- Pick the four adoption metrics that drive behavior and cut the four vanity metrics that mislead
- Use leading indicators to decide when an AI rollout has actually succeeded
- Embed AI into daily team rituals so usage holds after the launch push
Edizioni
- Edizioni
Course Mode: online · Course Workload: PT79M · Mode: online
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