Rajib

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in RPA Training

14

Teaching Experience in detail in RPA Training

I bring over 13 years of experience in the IT industry, including 6+ years of specialized expertise in Robotic Process Automation (RPA), working with leading MNC environments in automation and digital transformation. In my role as an AI + RPA Project Manager and Technical Lead, I have been actively involved in training, mentoring, and upskilling a large number of professionals in RPA technologies and automation practices. Throughout my career, I have trained and mentored 100+ professionals, including freshers, working professionals, and developers transitioning into automation roles. My core training areas include UiPath (Community Edition) and Automation Anywhere (Community Edition) ensuring that learners can practice without any licensing cost. I have conducted multiple knowledge transfer (KT) sessions, onboarding programs, and structured workshops covering: End-to-end RPA development lifecycle Bot design standards and reusable framework concepts Exception handling, debugging, and performance optimization Deployment, monitoring, and support (Hypercare phase) My teaching approach is highly practical and industry-oriented, where learners build automation solutions using real-world scenarios with tools like: Excel automation Web automation Email automation File and data processing workflows I emphasize hands-on learning using free and community versions of tools, so that every student can practice independently without any financial barrier. In addition to technical training, I guide learners on: PDD / SDD documentation basics Automation feasibility and use case identification Interview preparation and resume building Career transition strategies into RPA and automation roles I also incorporate modern automation trends, including AI-integrated automation and Agentic Automation concepts, helping learners stay aligned with current industry demands. My training methodology includes: Step-by-step guided sessions Real-time project implementation Assignments and mini-projects Regular doubt-clearing and interview Q&A sessions Flexible scheduling (weekend / weekday batches) The primary objective of my training is to enable students to design, develop, and deploy automation solutions independently, while gaining confidence in real project scenarios. By focusing on both technical skills and practical exposure, I ensure that learners are well-prepared to secure opportunities and grow in the RPA and automation domain.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Class 8 Tuition

14

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Class 9 Tuition

14

Teaching Experience in detail in Class 9 Tuition

I teach Computer Science with a modern approach including Artificial Intelligence (AI), coding, and real-world applications aligned with CBSE curriculum. For Class 6–8: AI basics (as per CBSE CT & AI curriculum) Scratch coding (game & animation development) Logical thinking and problem-solving skills For Class 9–10: Artificial Intelligence (Code 417) AI project cycle (Problem → Data → Model → Evaluation) Data handling and practical AI-based projects For Class 11–12 (Informatics Practices / Computer Science): Python programming (basics to advanced) Data analysis using Pandas SQL and database concepts Real-world projects (data analysis, mini AI use cases) My teaching focuses on practical learning using tools like Scratch, Python, AI models, and real-life examples instead of only theory. I ensure students not only understand concepts but can apply them confidently in exams and real-world scenarios.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Class 10 Tuition

14

Teaching Experience in detail in Class 10 Tuition

I teach Computer Science with a modern approach including Artificial Intelligence (AI), coding, and real-world applications aligned with CBSE curriculum. For Class 6–8: AI basics (as per CBSE CT & AI curriculum) Scratch coding (game & animation development) Logical thinking and problem-solving skills For Class 9–10: Artificial Intelligence (Code 417) AI project cycle (Problem → Data → Model → Evaluation) Data handling and practical AI-based projects For Class 11–12 (Informatics Practices / Computer Science): Python programming (basics to advanced) Data analysis using Pandas SQL and database concepts Real-world projects (data analysis, mini AI use cases) My teaching focuses on practical learning using tools like Scratch, Python, AI models, and real-life examples instead of only theory. I ensure students not only understand concepts but can apply them confidently in exams and real-world scenarios.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Class 11 Tuition

14

Teaching Experience in detail in Class 11 Tuition

I teach Computer Science with a modern approach including Artificial Intelligence (AI), coding, and real-world applications aligned with CBSE curriculum. For Class 11–12 (Informatics Practices / Computer Science): Python programming (basics to advanced) Data analysis using Pandas SQL and database concepts Real-world projects (data analysis, mini AI use cases) My teaching focuses on practical learning using tools like Scratch, Python, AI models, and real-life examples instead of only theory. I ensure students not only understand concepts but can apply them confidently in exams and real-world scenarios.

Class Location

Online class via Zoom

Student's Home

Tutor's Home

Years of Experience in Class 12 Tuition

14

Teaching Experience in detail in Class 12 Tuition

I teach Computer Science with a modern approach including Artificial Intelligence (AI), coding, and real-world applications aligned with CBSE curriculum. For Class 11–12 (Informatics Practices / Computer Science): Python programming (basics to advanced) Data analysis using Pandas SQL and database concepts Real-world projects (data analysis, mini AI use cases) My teaching focuses on practical learning using tools like Scratch, Python, AI models, and real-life examples instead of only theory. I ensure students not only understand concepts but can apply them confidently in exams and real-world scenarios.