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- User Authentication
- Prabhjot Minhas's Credentials
- Prabhjot Minhas's Wallet
- Azure AI Fundamentals: Creating a Conversational AI Bot
- Azure AI Fundamentals: Azure Natural Language Processing
- Azure AI Fundamentals: Evaluating Models in Azure AI
- Azure AI Fundamentals: Azure Document & Optical Character Recognition
- Azure AI Fundamentals: Working with AI Vision
- Azure AI Fundamentals: Introduction to Azure AI Vision
- Azure AI Fundamentals: Getting Started with Azure AI Vision
- Azure AI Fundamentals: Working with Azure Machine Learning Studio
- Azure AI Fundamentals: Using Azure Machine Learning Designer
- Azure AI Fundamentals: Introduction to Azure Machine Learning Studio
- Azure AI Fundamentals: Machine Learning with Azure AI
- Azure AI Fundamentals: Azure Data Explorer
- Azure AI Fundamentals: Artificial Intelligence Principles
- Azure AI Fundamentals: Artificial Intelligence Concepts
- Azure AI Fundamentals: Azure Machine Learning Fundamentals
- Data Engineering on Microsoft Azure: Physical Data Storage Structures
- Data Engineering on Microsoft Azure: Designing the Serving Layer
- Data Engineering on Microsoft Azure: Data Partitioning
- Data Engineering on Microsoft Azure: Designing Data Storage Structures
- Data Engineering on Microsoft Azure: Storage Accounts
- Establishing AI Guardrails and Governance
- Data Engineering on Microsoft Azure: Synapse Analytics
- Python Development: Getting Started with Programming in Python
- Generative AI and Its Impact to Everyday Business
- CGI Annual Tour F2024: Canada (retired October 2023)
- Establishing Quality Standards (2021 Update)
- Managing the Project Resources (2021 Update)
- Performing a Critical Path Analysis (2021 Update)
- Planning the Project Schedule (2021 Update)
- Managing the Project Schedule (2021 Update)
- Planning and Managing the Project Budget (2021 Update)
- Engaging Stakeholders (2021 Update)
- Managing Project Risks (2021 Update)
- Communicating Effectively (2021 Update)
- Defining and Identifying Project Risk (2021 Update)
- Performing Risk Analysis (2021 Update)
- Selecting a Project Management Approach (2021 Update)
- Supporting Agile Team Performance (2021 Update)
- Engaging Team Members and Stakeholders (2021 Update)
- Leading the Team (2021 Update)
- PMP Learner Kit Information
- Azure Data Fundamentals: Modern Data Warehousing
- Azure Data Fundamentals: Non-relational Data Services
- Azure Data Fundamentals: Azure SQL Querying Techniques
- Azure Data Fundamentals: Azure Data Ingestion & Processing
- Azure Data Fundamentals: Azure Data Visualization
- Azure Data Fundamentals: Azure Cosmos DB
- Azure Data Fundamentals: Non-relational Data Management
- Azure Data Fundamentals: Relational Data Management
- Azure Data Fundamentals: Relational Data Workloads
- Azure Data Fundamentals: Data Analytics
- Azure Data Fundamentals: Non-relational Data Workloads
- Azure Data Fundamentals: Data Workloads
- Azure Fundamentals Bootcamp: Session 3 Replay
- Azure Fundamentals Bootcamp: Session 4 Replay
- Azure Fundamentals Bootcamp: Session 2 Replay
- Azure Fundamentals Bootcamp: Session 1 Replay
- Extended Events & SQL Trace
- Improving Neural Networks: Loss Function & Optimization
- Improving Neural Networks: Neural Network Performance Management
- Training Neural Networks: Advanced Learning Algorithms
- Training Neural Networks: Implementing the Learning Process
- Building Neural Networks: Artificial Neural Networks Using Frameworks
- Building Neural Networks: Development Principles
- Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- Final Exam: ML Programmer
- Managing Database Integrity
- Policy-based Management & Performance Monitoring
- File & Piecemeal Restores
- Monitoring Queries
- Linear Models & Gradient Descent: Gradient Descent and Regularization
- Linear Models & Gradient Descent: Managing Linear Models
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Backup Management
- Database Restoration
- Building ML Training Sets: Introduction
- Math for Data Science & Machine Learning
- Reinforcement Learning: Tools & Frameworks
- Bayesian Methods: Advanced Bayesian Computation Model
- Reinforcement Learning: Essentials
- Implementing Bayesian Model and Computation with PyMC
- Bayesian Methods: Bayesian Concepts & Core Components
- Model Management: Building & Deploying Machine Learning Models in Production
- Model Management: Building Machine Learning Models & Pipelines
- Computational Theory: Language Principle & Finite Automata Theory
- Simplifying Regression and Classification with Estimators
- Linear Regression Models: Introduction to Logistic Regression
- Linear Regression Models: Multiple & Parsimonious
- Auditing
- Linear Regression Models: Introduction
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- NLP for ML with Python: NLP Using Python & NLTK
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Data Security & Azure SQL Database Options
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to Pandas and DataFrames
- Data Access & Permissions
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to NumPy for Multi-dimensional Data
- Encryption
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