Site Map - skillsoft.digitalbadges-eu.skillsoft.com
- User Authentication
- Getabil Mengist's Credentials
- Getabil Mengist's Wallet
- Azure AI Fundamentals: Azure Machine Learning Fundamentals
- Deep Learning & Neural Network Implementation
- Secure Programmer: Coding Practices
- Data Science Solution on Azure: Data Solution Optimization
- Creating a custom chatbot using ChatGPT
- Microsoft Certified: Azure Data Scientist Associate Journey
- Azure Data Scientist Associate
- Deep Learning and Neural Networks
- Machine Learning Fundamentals
- Unsupervised Learning Algorithms I
- Supervised Learning II: SVM's, Random Forests, Naive Bayes
- Supervised Learning I : Regressors, Classifiers and Trees
- Track 1: Introduction to Chatbots
- Track 2: Web Scraping for Chatbots
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Azure Data Scientist Associate: High Availability & Disaster Recovery
- Azure Data Scientist Associate: Data Process Monitoring
- Azure Data Scientist Associate: Azure Data Storage Monitoring
- Azure Data Scientist Associate: Machine Learning Model Monitoring
- Math & Optimizations: Introducing Sets & Set Operations
- Azure Data Scientist Associate: Model Features & Differential Privacy
- Neural Network Mathematics: Understanding the Mathematics of a Neuron
- Azure Data Scientist Associate: Machine Learning Data Stores & Compute
- Azure Data Scientist Associate: Machine Learning Orchestration & Deployment
- Azure Data Scientist Associate: Azure Data Factory
- Azure Data Scientist Associate: Non-relational Data Stores
- Azure Data Scientist Associate: Storage Strategy
- Azure Data Scientist Associate: Azure Data Platform Services
- Azure Data Scientist Associate: Azure Storage Accounts
- Azure Data Scientist Associate: Azure Machine Learning Workspaces
- Azure Data Scientist Associate: Project Jupyter & Notebooks
- Azure Data Scientist Associate: Machine Learning Clustering Models
- Azure AI Fundamentals: Introduction to Azure Machine Learning Studio
- Azure Data Scientist Associate: Machine Learning Classification Models
- Azure Data Scientist Associate: Machine Learning Regression Models
- Azure Data Scientist Associate: Machine Learning Services
- Azure Data Scientist Associate: Machine Learning
- Advanced Docker: Working with Services & Applications on Multiple Containers
- Prompt Engineering for Data: Leveraging Prompts for Filtering & Grouping Data
- Prompt Engineering for Data: Basic Data Manipulation Using Generative AI
- Python - Introduction to Pandas and DataFrames
- Prompt Engineering for Data: Leveraging Prompts When Working with Data
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Microsoft Azure Fundamentals: AZ-900 Exam Preparation
- Microsoft Azure Fundamentals: Azure Network Security
- Microsoft Azure Fundamentals: Monitoring Azure Services
- Microsoft Azure Fundamentals: Migrating to Microsoft Azure
- Microsoft Azure Fundamentals: Azure Software Development Services
- Microsoft Azure Fundamentals: Azure Service Resilience
- Microsoft Azure Fundamentals: Managing Azure Authentication
- Advanced Pen Testing Techniques
- Pen Testing Awareness: Results Management
- Microsoft Azure Fundamentals: Managing Azure AD
- Microsoft Azure Fundamentals: Azure RBAC & Azure Policy
- Microsoft Azure Fundamentals: Azure App Service
- Microsoft Azure Fundamentals: Azure Container Solutions
- Microsoft Azure Fundamentals: Azure Virtual Machines
- Microsoft Azure Fundamentals: Azure Network Infrastructure
- Microsoft Azure Fundamentals: Azure VNet Peering & VPNs
- Track 5: Unsupervised Learning; K Means Clustering and PCA
- Beginner Machine Learning
- Track 4: Unsupervised Learning
- Machine Learning Specialist
- Track 5: Improving Machine Learning Models
- Microsoft Azure Fundamentals: Azure Files
- Microsoft Azure Fundamentals: Managing the Microsoft Azure Hierarchy
- Microsoft Azure Fundamentals: Managing Azure Storage
- Track 1: Deep Learning Foundations
- Track 1: Introduction to Machine Learning
- Recommender Systems: Under the Hood of Recommendation Systems
- Track 4: Recommender Systems
- Clustering Techniques
- ML & Dimensionality Reduction: Performing Principal Component Analysis
- Track 3: Feature Engineering
- Microsoft Azure Fundamentals: Managing Azure Costs
- Track 2: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
- Track 3: Supervised Learning II: Naive Bayes, SVM, KNN and Decision Trees
- Data Literacy for All Bootcamp: Session 3 Replay
- Conveying Your Message without Words
- Track 2: Supervised Learning I : Linear and Logistic Regression
- Track 1: Supervised Learning I: Linear and Logistic Regression
- Becoming a Continuous Learner
- Creating React and Redux Web Apps
- Track 3: Redux
- Track 4: Redux
- Build and Test SPA Using React & Redux
- JavaScript: Functions & Arrays in JavaScript
- Neural Networks
- Unsupervised Learning
- Introduction to Machine Learning & Supervised Learning
- Supervised Learning Models
- Track 3: React Testing
- Track 2: Intermediate React
- Git & GitHub: Introduction
- Track 2: React Router
- Track 1: React
- Build & Integrate React Applications with Redux Capabilities
- Configuring a Developer Machine
- Build Apps Using React: In Development & Production
- Navigating AI Ethical Challenges and Risks
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Establishing AI Guardrails and Governance
- Leading in the Age of Generative AI
- Leading through the AI Disruption with Empathy
- Encouraging Innovation and Experimentation with AI
- Fostering a Growth Mindset in the Age of AI
- Build Apps Using React: Local Machine & Online Playgrounds
- Reactive Programming Using Redux
- CCSP 2022: Cloud Data Security
- Track 1: Introduction to React
- Ethical Hacker: Secure Technology & Applications
- Penetration Testing Fundamentals
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Getabil Mengist's Transcript
- Getabil Mengist's Wallet
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