Machine Learning Essentials
Learning outcomes: Learn ML concepts, data preparation, algorithms, and basic models. Books and materials: Included Estimated duration: 12 hours Pricing: USD 119.00
What You'll Learn
Module 1: Foundations of Machine Learning Essentials
This module develops foundations and core concepts for Machine Learning Essentials, with emphasis on Ml Concepts, Data Preparation, and Algorithms.
3 lessons
Lesson 1: Core Concepts: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Foundations and Core Concepts
50mThis lesson focuses on foundations and core concepts within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 2: Tools, Systems, and Setup: Ml Concepts
This module develops tools, systems, and setup for Machine Learning Essentials, with emphasis on Ml Concepts, Data Preparation, and Algorithms.
3 lessons
Lesson 1: Core Concepts: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Tools, Systems, and Setup
50mThis lesson focuses on tools, systems, and setup within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 3: Workflow, Security, and Quality
This module develops workflow, security, and quality for Machine Learning Essentials, with emphasis on Ml Concepts, Data Preparation, and Algorithms.
3 lessons
Lesson 1: Core Concepts: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Workflow, Security, and Quality
50mThis lesson focuses on workflow, security, and quality within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 4: Practical Applications and Troubleshooting
This module develops practical applications and troubleshooting for Machine Learning Essentials, with emphasis on Ml Concepts, Data Preparation, and Algorithms.
3 lessons
Lesson 1: Core Concepts: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Practical Workflow: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Guided Practice and Review: Practical Applications and Troubleshooting
50mThis lesson focuses on practical applications and troubleshooting within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Module 5: Assessment and Certificate Readiness for Machine Learning Essentials
This module develops assessment and certificate readiness for Machine Learning Essentials, with emphasis on Ml Concepts, Data Preparation, and Algorithms.
3 lessons
Lesson 1: Knowledge Review for Machine Learning Essentials
50mThis lesson focuses on assessment and certificate readiness within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 2: Mock Tasks and Performance Checks
50mThis lesson focuses on assessment and certificate readiness within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Lesson 3: Final Readiness and Next Steps
50mThis lesson focuses on assessment and certificate readiness within Machine Learning Essentials. Learners connect core theory to practical expectations in Technology & IT, with emphasis on confident execution and measurable progress.
Enrollment
$119
Includes 15 lessons, learner enrollment, and access through the student account.