Machine Learning Engineer Training
Machine Learning Engineer Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field AI by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Software Developers: The target audience consists of software developers, experts who wish to broaden their knowledge of machine learning to create intelligent systems and applications.
Data Scientists and Analysts: Data scientists and analysts want to learn more about machine learning to improve their capacity for data analysis and predictive modeling.
Researchers and AI enthusiasts: People enthusiastic about machine learning and artificial intelligence and looking for practical experience creating and implementing ML models.
IT professionals: Experts who want to enhance corporate procedures and decision-making by incorporating machine learning into IT systems.
Students and Career Changers: People who wish to begin a career in machine learning and artificial intelligence (AI) as aspiring professionals or those changing careers.
Machine Learning Engineer: Create and refine machine learning models for use in finance, healthcare, and technology sectors.
AI Engineer: Create and implement artificial intelligence solutions, such as computer vision, machine learning, and natural language processing.
Data Scientist: Examine data using machine learning algorithms to produce insights that can be used to inform business decisions.
Data Engineer: Construct infrastructure and data pipelines to facilitate big data analytics and machine learning processes.
Research Scientist: To develop technologies and produce novel solutions, conduct state-of-the-art AI and machine learning research.
In the USA and Canada, industries like technology, healthcare, finance, retail, and automotive seek workers with machine learning experience. These industries provide high wages and prospects for career advancement in this quickly changing industry.
- Agile Overview
- Agile Manifesto & Principles
- Agile vs. Traditional (Waterfall) Approaches
- Scrum, Kanban, XP – overview of frameworks
- Role of a Business Analyst in Agile BA responsibilities in Agile teams
- Collaboration with Product Owner, Scrum Master, Dev Team
- Scrum Deep Dive
- Roles, Events, Artifacts
- Product Backlog, Sprint Planning, Review, and Retrospective
- Kanban Basics (WIP limits, continuous flow)
- Scaling Agile (SAFe, LeSS, Nexus) – intro level
- Tools included : Jira / Trello setup basics
- Gathering Requirements in Agile
- Just-in-time requirements
- Collaborative discovery
- User Stories & Acceptance Criteria
- INVEST criteria and Definition of Ready / Done
- Story Mapping & Backlog Grooming
- Jira / Confluence Training
- Backlog creation, story linking, boards
- Wireframing & Prototyping
- Tools: Balsamiq / Figma / Draw.io
- Facilitation Techniques
- Agile workshops (Story Mapping, Impact Mapping)
- Agile Planning Levels (Roadmap, Release, Sprint planning)
- Estimation Techniques (Planning Poker, T-Shirt sizing)
- Prioritization Methods (MoSCoW, Kano Model, WSJF)
- Performance Metrics (Velocity, Burnup/Burndown charts , Lead/Cycle Time)
- BA Contribution Metrics (Requirements churn, value tracking)
- How to create and maintain Dashboards in Jira
- Case Study: Analyse sprint reports & suggest improvements
- Stakeholder Management
- Effective Communication
- Facilitation & Conflict Resolution
- Agile Project Simulation End-to-end product backlog creation
- Resume Building for Agile BA
- Mock Interviews & Job Placement
This course is ideal for aspiring Business Analysts, working professionals transitioning to Agile roles, Product Owners, Project Managers, and anyone interested in Agile practices and business analysis.
No technical background is required. The course is designed to help non-technical individuals understand Agile concepts and tools in a practical, easy-to-follow manner.
The duration for Agile Business Analyst training is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. We also guide you on pursuing global certifications like IIBA-AAC and ICAgile-BA.
Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Machine Learning Engineer: Create and refine machine learning models for use in finance, healthcare, and technology sectors.
AI Engineer: Create and implement artificial intelligence solutions, such as computer vision, machine learning, and natural language processing.
Data Scientist: Examine data using machine learning algorithms to produce insights that can be used to inform business decisions.
Data Engineer: Construct infrastructure and data pipelines to facilitate big data analytics and machine learning processes.
Research Scientist: To develop technologies and produce novel solutions, conduct state-of-the-art AI and machine learning research.
In the USA and Canada, industries like technology, healthcare, finance, retail, and automotive seek workers with machine learning experience. These industries provide high wages and prospects for career advancement in this quickly changing industry.
