Advanced AI and Machine Learning using TensorFlow
Advanced AI and Machine Learning with TensorFlow is a specialized course centered on deep learning and AI methodologies. Using TensorFlow as the main technology, participants learn how to create, train, and implement sophisticated machine learning models, such as neural networks, to tackle challenging issues like image recognition, natural language processing, and predictive analytics.
- 10+ Courses
- 30+ Projects
- 400 Hours
Advanced AI and Machine Learning using TensorFlow Training is suitable for the following target audiences:
Data Scientists: Perfect for data scientists who wish to study TensorFlow and use it in cutting-edge AI projects to improve their machine learning abilities.
Machine Learning Engineers: Engineers in charge of creating, refining, and training machine learning models are the target audience for Machine Learning Engineers.
AI Researchers: Ideal for experts working on AI projects who require hands-on experience putting advanced models into practice with TensorFlow.
Software Developers: Designed for developers using TensorFlow to incorporate AI and machine learning capabilities into software applications.
IT Professionals and Analysts: This course is excellent for IT professionals who want to gain practical expertise with TensorFlow before entering AI and machine learning careers.
Machine Learning Engineer: Developing and implementing ML models in technology, healthcare, and finance sectors.
AI Specialist: Developing AI tools to improve decision-making, streamline procedures, and automate jobs.
Data Scientist: Using cutting-edge machine learning methods to evaluate data and produce forecasts.
AI Research Scientist: This person works in academia or R&D departments and conducts AI research to create new models and algorithms.
AI Software Developer: Using TensorFlow, develop AI-powered apps and solutions to address practical issues.
Jobs in fields like technology, healthcare, finance, and manufacturing offer competitive pay and chances for career advancement, making these positions highly sought after in both 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
Machine Learning Engineer: Developing and implementing ML models in technology, healthcare, and finance sectors.
AI Specialist: Developing AI tools to improve decision-making, streamline procedures, and automate jobs.
Data Scientist: Using cutting-edge machine learning methods to evaluate data and produce forecasts.
AI Research Scientist: This person works in academia or R&D departments and conducts AI research to create new models and algorithms.
AI Software Developer: Using TensorFlow, develop AI-powered apps and solutions to address practical issues.
Jobs in fields like technology, healthcare, finance, and manufacturing offer competitive pay and chances for career advancement, making these positions highly sought after in both the USA and Canada.
