Deep Learning Training
Deep Learning Training Online by Checkmate IT Tech is a transformative journey, elevating your expertise and mastering essential skills. Deep Learning is at the heart of artificial intelligence, powering innovations in computer vision, natural language processing and autonomous systems. Equip yourself with cutting-edge skills that are in high demand across industries.
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists and Analysts: Data scientists and analysts are experts who want to improve their deep learning abilities in order to create prediction models and tackle challenging data issues.
Machine Learning Engineers: Machine learning engineers are people who wish to focus on deep learning methods in order to create sophisticated artificial intelligence systems.
Software Developers: Developers interested in incorporating deep learning algorithms into systems and applications are known as software developers.
Academics and Researchers: People working in academic institutions or research domains that want to use deep learning in their projects or studies.
IT Professionals and Enthusiasts: An IT professional or enthusiast is anyone with a technical background who wants to advance their skills in one of the most advanced fields of artificial intelligence.
AI/Deep Learning Engineer: Deep learning models are designed and implemented for various applications by AI/Deep Learning Engineers.
Data Scientist: Analyzing and producing insights from massive datasets using deep learning techniques.
Machine Learning Engineer: A machine learning engineer is responsible for creating and implementing machine learning models, with an emphasis on deep learning.
Computer Vision Engineer: Using deep learning for jobs involving the analysis of images and videos.
Expert in Natural Language Processing (NLP): Applying deep learning to sentiment analysis, translation, and language modeling.
These positions, which provide competitive pay and growth prospects in the quickly developing fields of artificial intelligence and deep learning, are in high demand in the USA and Canada.
- 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
AI/Deep Learning Engineer: Deep learning models are designed and implemented for various applications by AI/Deep Learning Engineers.
Data Scientist: Analyzing and producing insights from massive datasets using deep learning techniques.
Machine Learning Engineer: A machine learning engineer is responsible for creating and implementing machine learning models, with an emphasis on deep learning.
Computer Vision Engineer: Using deep learning for jobs involving the analysis of images and videos.
Expert in Natural Language Processing (NLP): Applying deep learning to sentiment analysis, translation, and language modeling.
These positions, which provide competitive pay and growth prospects in the quickly developing fields of artificial intelligence and deep learning, are in high demand in the USA and Canada.
