Course curriculum

    1. Segment 00 - Reading : Welcome to the Course: Course Overview

    2. Segment 01 - INTRO-Introduction and Welcome

    3. Segment 02 - Finding the right TPM

    4. Segment 03 - Selecting Processes supporting TPM decisions 

    5. Segment 04 - Reading : What is the Agile Manifesto?

    6. Segment 05 - What metrics should I use as a TPM 

    7. Segment 06 - Hands-On-Learning: Deconstructing DORA Metrics for ML Applications

    1. Segment 07 - Integrating LLM Models with ML

    2. Segment 08 - Supporting MLOps with a project team

    3. Segment 09 - Hands-On-Learning: Task Breakdown Using Open-Source ML Data

    4. Segment 10 - Working with learning types

    5. Segment 11 - Reading : What is Machine Learning

    1. Segment 12 - Deploying analytic tools 

    2. Segment 13 - Selecting metrics for ML 

    3. Segment 14 -Working with statistics and R

    4. Segment 15 - Hands-On-Learning: Building a Data Evaluation Pipeline in R

    5. Segment 16 - Establishing an ML product

    6. Segment 17 - Reading: Introduction to R Programming Language

    7. Segment 18 - Project: Building an End-to-End ML Project Plan

About this course

  • Free
  • 19 lessons
  • 1.5 hours of video content

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