Deep Learning With TensorFlow Training
Deep Learning With TensorFlow 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 of Artificial Intelligence by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists: Experts wishing to deepen their understanding of deep learning and use sophisticated TensorFlow machine learning models.
Machine Learning Engineers: People in AI and machine learning positions who wish to become TensorFlow experts specialising in deep learning.
Software developers: Developers who want to incorporate deep learning technologies into their projects and create AI-powered apps.
Researchers and Academicians: Researchers and academics working in artificial intelligence, computer vision, and natural language processing require practical TensorFlow experience for their projects.
Students and Novices in AI: People who have a basic understanding of machine learning and want to acquire deep learning techniques to further their careers in AI.
Deep Learning Engineer: Create and refine deep learning models for a range of uses, including recommendation engines, picture recognition, and natural language processing.
AI/ML Engineer: Create and deploy TensorFlow-based AI solutions for sectors like retail, healthcare, and finance.
Data Scientist: Examine huge datasets and derive useful insights by applying deep learning techniques.
Computer Vision Engineer: Use TensorFlow to create and implement computer vision applications like facial recognition and object identification.
Engineer in Natural Language Processing (NLP): Develop NLP models for applications such as language translation, chatbots, and sentiment analysis.
Research Scientist in AI: Carry out innovative studies in AI and deep learning, assisting in the creation of novel algorithms and technologies.
In the USA and Canada, these positions are highly sought after in sectors including technology, healthcare, banking, and the automobile industry, and they pay competitively.
- 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
Deep Learning Engineer: Create and refine deep learning models for a range of uses, including recommendation engines, picture recognition, and natural language processing.
AI/ML Engineer: Create and deploy TensorFlow-based AI solutions for sectors like retail, healthcare, and finance.
Data Scientist: Examine huge datasets and derive useful insights by applying deep learning techniques.
Computer Vision Engineer: Use TensorFlow to create and implement computer vision applications like facial recognition and object identification.
Engineer in Natural Language Processing (NLP): Develop NLP models for applications such as language translation, chatbots, and sentiment analysis.
Research Scientist in AI: Carry out innovative studies in AI and deep learning, assisting in the creation of novel algorithms and technologies.
In the USA and Canada, these positions are highly sought after in sectors including technology, healthcare, banking, and the automobile industry, and they pay competitively.
