Gedetailleerde cursusinhoud
Data and AI/ML/DL Fundamentals
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Data Engineering
- Introduction to Artificial Intelligence (AI)
- Introduction to Machine Learning (ML)
- Introduction to Deep Learning (DL)
- AI/ML/DL Use Cases
Artificial Intelligence (AI)
- AI Concept, Methods, and Techniques
- Key AI Challenges (Customer and Provider)
- AI Business Drives
- Evolution of AI Algorithms
Machine Learning (ML)
- Machine Learning (ML) Algorithms
- Supervised Learning
- Unsupervised Learning
Deep Learning (DL)
- Deep Learning Project Phases
- Custom AI Deep Learning Workflow
- Deep Learning (DL) Algorithms
Neural Networks
- Neural Networks Fundamentals
- Neural Architecture Search (NAS)
- Cisco Neural Architecture Construction (NAC)
NLP / NLU
- Natural Language Processing Basics
- NLP / NLU Techniques
- NLP / NLU Deployments
Kubernetes
- What is Kubernetes
- Introduction to Containers
- Container Orchestration Engines
- Kubernetes Basics
- KubeFlow for AI
AI Server Requirements
- GPU
- Modern GPU Server Architecture
- Storage Requirements
Data Science and Infrastructure AI Tools
- Big Data with AI/ML/DL
- Kubeflow
- SkyMind SKIL
- Cloudera Data Science Workbench
- DL Frameworks > Handwritten Math
- Kubernetes
- Demo: Classifying Handwritten Digits with TensorFlow