Natural Language Processing Training
Natural Language Processing 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 Robotics by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists and Analysts: Professionals looking to extract insights from unstructured text data by integrating natural language processing (NLP) tools into their workflows are known as data scientists and analysts.
Machine Learning Engineers: People who want to increase their proficiency in creating natural language processing (NLP) models and incorporating them into AI-powered applications.
Software Developers: Software developers are those that work to create or improve applications that can speak natural languages, like chatbots or language translation software.
Linguists and Language Enthusiasts: Linguists and language enthusiasts are those with a background in linguistics who want to use what they’ve learned to help create artificial intelligence (AI) systems that can understand language.
Business professionals working in AI fields: People working on AI-driven initiatives who must comprehend how to use natural language processing (NLP) technologies to solve business problems.
NLP Engineer: Creating and refining natural language processing (NLP) models for automatic translation, voice assistants, and chatbots.
Data Scientist (NLP Specialist): Using NLP approaches to glean insights from vast amounts of textual data is what a data scientist (NLP specialist) does.
AI/ML Engineer: Developing cutting-edge AI systems with an emphasis on generating and comprehending natural language.
Speech Recognition Specialist: Creating and refining voice command processing and speech-to-text systems.
Chatbot Developer: Creating and deploying intelligent chatbots for business automation and customer support.
These positions, which offer excellent pay and chances for career advancement in both the USA and Canada, are in high demand in sectors like technology, healthcare, finance, and e-commerce.
- 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
Data Scientists and Analysts: Professionals looking to extract insights from unstructured text data by integrating natural language processing (NLP) tools into their workflows are known as data scientists and analysts.
Machine Learning Engineers: People who want to increase their proficiency in creating natural language processing (NLP) models and incorporating them into AI-powered applications.
Software Developers: Software developers are those that work to create or improve applications that can speak natural languages, like chatbots or language translation software.
Linguists and Language Enthusiasts: Linguists and language enthusiasts are those with a background in linguistics who want to use what they’ve learned to help create artificial intelligence (AI) systems that can understand language.
Business professionals working in AI fields: People working on AI-driven initiatives who must comprehend how to use natural language processing (NLP) technologies to solve business problems.
