AI Academy

Foundations of AI and Machine Learning

Instructor: Microsoft Duration: Approx. 35 hours
Scikit Learn (Machine Learning Library)
Tensorflow
Application Frameworks
Data Security
Artificial Intelligence and Machine Learning (AI/ML)
Data Pipelines
Artificial Intelligence
Cloud Infrastructure
Scalability
PyTorch (Machine Learning Library)
Data Processing
Data Management
Infrastructure Architecture
MLOps (Machine Learning Operations)
Data Cleansing
Machine Learning
Application Deployment

AI and Machine Learning Algorithms and Techniques

Instructor: Microsoft Duration: 45 hours to complete 3 weeks at 15 hours a week
Artificial Intelligence and Machine Learning (AI/ML)
Business Logic
Predictive Modeling
Feature Engineering
Machine Learning Algorithms
Large Language Modeling
Artificial Neural Networks
Statistical Machine Learning
Deep Learning
Reinforcement Learning
Decision Tree Learning
Data Modeling
Generative AI
Unsupervised Learning
Performance Metric
Applied Machine Learning
Dimensionality Reduction
Supervised Learning

Building Intelligent Troubleshooting Agents

Instructor: Microsoft Duration: 45 hours to complete 3 weeks at 15 hours a week
Generative AI Agents
Python Programming
Artificial Intelligence
Test Case
Large Language Modeling
Natural language processing
Artificial Intelligence and Machine Learning (AI/ML)
Human Computer Interaction
Debugging
Machine Learning
Agentic systems
Prompt Engineering
Performance Tuning

Microsoft Azure for AI and Machine Learning

Instructor: Microsoft Duration: 21 hours to complete 3 weeks at 7 hours a week
Data Transformation
Data Quality
Data Pipelines
CI/CD
Application Deployment
Continuous Monitoring
Microsoft Azure
Data Storage
Network Troubleshooting
Scalability
Software Versioning
MLOps (Machine Learning Operations)
Artificial Intelligence and Machine Learning (AI/ML)
Cloud Computing

Advanced AI and Machine Learning Techniques and Capstone

Instructor: Microsoft Duration: 3 weeks to complete at 10 hours a week
Information Privacy
MLOps (Machine Learning Operations)
Deep Learning
Tensorflow
Scalability
Microsoft Azure
Distributed Computing
Ethical Standards And Conduct
Artificial Intelligence
Data Ethics
Artificial Neural Networks
Machine Learning
Machine Learning Methods
Generative AI
Applied Machine Learning
Artificial Intelligence and Machine Learning (AI/ML)