Step-by-step guidance to help you grow from a learner into a confident professional—gain the skills, mindset, and real-world experience needed to excel and lead in your field.
AI Security: Protect ML Systems and Services
Skills Covered: AI security, vulnerability assessment, secure coding
Google Cloud Data ML and AI Foundations
Skills Covered: Big Data, Machine Learning, Artificial Intelligence
Introduction to TensorFlow for AI, ML and Deep Learning
Skills Covered: TensorFlow, Neural Networks, Computer Vision
ML in Production: Deploy & Scale AI Systems
Skills Covered: ML deployment, concept drift, production systems
PyTorch Basics for ML
Skills Covered: PyTorch, Machine Learning, Python
MLOps Platforms: Amazon SageMaker and Azure ML
Skills Covered: AWS SageMaker, Azure ML, MLOps
Apache Spark for Data Engineering and ML
Skills Covered: Apache Spark, Machine Learning, ETL
Python Asset Management: ML & Alternative Data Insights
Skills Covered: Python Programming, Machine Learning, Alternative Data Analysis
Product Analytics and AI
Skills Covered: Product Analytics, Data Science, AI Implementation
AI Strategy and Governance
Skills Covered: AI Strategy, Machine Learning, Data Governance
AI and Public Health
Skills Covered: AI for Good, Public Health, Air Quality Monitoring
