Lesson 01: Course Introduction
1.1 Course Introduction
1.2 Exam Details
1.3 What will you learn
Lesson 02: Agile way of thinking
2.1 Introduction
2.2 What Is Agile
2.3 Problems with waterfall model
2.4 Agile Manifesto
2.5 Agile Principles One - Three
2.6 Agile-Principles Four - Six
2.7 Agile Principles Seven - Nine
2.8 Agile Principles Ten - Twelve
2.9 Waterfall Vs agile project management
2.10 Benefits of Agility
2.11 Faster Delivery with Value
2.12 Overview of Scrum
2.13 Scrum Process
2.14 Starting the Agile Journey
2.15 Balanced Scorecard for Scrum
2.16 Recap
Knowledge Check
Lesson 03: Scrum Roles, Events, and Artifacts
3.1 Introduction
3.2 Scrum roles
3.3 Scrum Master Do's
3.4 Scrum Master Dont's
3.5 Scrum Master Skills and Attributes
3.6 Scrum Master Selection Scenarios
3.7 Role of the Product Owner
3.8 Attributes of a Successful Product Owner
3.9 Scenarios in Product Owner selection
3.10 Failure modes for Product Owner position
3.11 How busy is the product owner and scrum master
3.12 Agile Team Characteristics
3.13 Small teams
3.14 Forming scrum teams
3.15 Evolution of Team roles
3.16 Managers in Scrum
3.17 Sprints
3.18 Duration of sprints
3.19 Backlog refinement
3.20 Sprint Planning
3.21 Velocity and Commitment Driven Planning
3.22 Failure modes of Sprint Planning
3.23 Daily Stand Up
3.24 Failure Modes of Daily Stand up Meeting
3.25 Sprint Review and Retrospective0
3.26 Failure modes of Sprint Review and Retrospective
3.27 Definition of Done
3.28 Definition of Ready
3.29 Backlog
3.30 Characteristics of Product Backlog
3.31 Recap
Spotlight One
Knowledge Check
Lesson 04: Agile Estimation, Planning, Monitoring and Control
4.01 Introduction
4.02 What is a user story
4.03 Writing good user story
4.04 Acceptance Criteria
4.05 Epics Stories and Features
4.06 Splitting user stories
4.07 Story mapping
4.08 Business Value
4.09 Benefit Cost analysis
4.10 Prioritization
4.11 Estimation
4.12 Ideal Time Estimates
4.13 Story Points
4.14 Affinity Estimation
4.15 Planning Poker
4.16 Velocity and Planning
4.17 Release Planning
4.18 Release Planning Process
4.19 Burndown and burnup charts
4.20 Burndown bar chart and Parking lot chart
4.21 Scrum Board and Niko - Niko Calendar
4.22 Some other information radiators
4.23 Recap
Knowledge Check
Lesson 05: Other methods and frameworks
5.1 Introduction
5.2 Frameworks and Methods
5.3 Extreme Programming Practices
5.4 Other Extreme Programming Practices
5.5 XP Team Roles
5.6 Crystal
5.7 DSDM
5.8 Timeboxing and MoSCoW
5.9 Lean and Value Mapping
5.10 Seven Forms of Waste
5.11 Kanban
5.12 Kanban Terminologies
5.13 Recap
Spotlight Two
Knowledge Check
Lesson 06: Complex projects
6.1 Introduction
6.2 Common Challenges in Projects
6.3 Backlog Management
6.4 Scaling Product Owners
6.5 Scrum - of - Scrums
6.6 Planning practices
6.7 Scaling Frameworks
6.8 Disciplined Agile
6.9 Nexus
6.10 Good Practices of Distributed Agile
6.11 Distribution Models and Cultural Sensitivity
6.12 Conditions favorable for Agile adoption
6.13 Continuum of lifecycle models
6.14 Agile Tooling
6.15 Testing Pyramid
6.16 Recap
Knowledge Check
Lesson 07: Adopting agile
7.1 Introduction
7.2 Roadmap to Agility
7.3 Patterns of Agile Adoption
7.4 Secret of successful pilots
7.5 Iterative execution of transition projects
7.6 Improvement committee
7.7 Setting the expectation up - front
7.8 Change style indicators
7.9 Managing resistance to change
7.10 Common Pitfalls of Adopting Agile
7.11 People Management
7.12 Facilities and Administration
7.13 Cultural Changes
7.14 Maturity model
7.15 Use of Maturity model
7.16 Recap
You will have access to assistance and support throughout the course. Additionally, you will have access to free mentorship, live chat for instant solutions, and mandatory feedback sessions.
Yes, you will have access to the class recordings.
After completion of the Machine Learning Certification Course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
Certification
London IT Training