Kuldeep Dhama

Years of Experience in Microsoft Power BI classes

20

Teaching Experience in detail in Microsoft Power BI classes

Microsoft Power BI – Teaching Experience I have conducted comprehensive training sessions in Microsoft Power BI, focusing on transforming professionals with little to no background in data analysis into confident Power BI users. My teaching approach emphasizes hands-on learning, real-time dashboards, and live project-based scenarios. Key Highlights: Taught Power BI to working professionals from domains like finance, marketing, operations, and IT support—most of whom were transitioning into data-driven roles. Structured my course to cover the complete BI workflow: data import, transformation using Power Query, DAX functions, data modeling, and building insightful reports and dashboards. Used real-time business use cases—including sales analytics, HR dashboards, and customer segmentation—for practical learning. Delivered live online sessions, supported by recordings, practice assignments, and quizzes. Familiarized learners with Power BI Desktop, Power BI Service, and Power BI Mobile, including how to publish and share dashboards. Provided continuous post-course support, resume tips, and interview preparation for BI/data analyst roles. Helped several students transition into data analytics roles using Power BI as their launchpad. Tools & Topics Covered: Power BI Desktop Power BI Service (cloud publishing and sharing) Power Query (M language basics) DAX (Data Analysis Expressions) Data modeling & relationships Visualizations & custom charts Row-level security Scheduled data refresh & gateways

Years of Experience in Amazon Web Services Training

10

Teaching Experience in detail in Amazon Web Services Training

With a robust background in corporate IT and cloud infrastructure, I bring years of hands-on experience driving enterprise-level digital transformation using Amazon Web Services (AWS). My professional journey has been rooted in delivering scalable, secure, and cost-effective cloud solutions to Fortune 500 clients and fast-growing startups alike. My expertise spans architecture design, DevOps, security compliance, migration strategies, and performance optimization within AWS environments. Throughout my corporate career, I have consistently taken on mentoring and training roles, guiding cross-functional teams and upskilling internal staff in AWS technologies. Recognizing the growing demand for cloud fluency, I transitioned these efforts into structured teaching engagements. My teaching experience in AWS includes: Instructor-Led Training (ILT): Conducted both in-person and virtual sessions tailored for developers, system administrators, and solution architects. Courses covered core AWS services such as EC2, S3, IAM, RDS, Lambda, CloudFormation, and VPC, often culminating in certification readiness for exams like AWS Certified Solutions Architect – Associate and Professional levels. Customized Corporate Training Programs: Designed and delivered bespoke AWS workshops for organizations undergoing cloud adoption or migration. These sessions focused on real-world use cases, helping teams build practical skills aligned with their operational goals. Mentorship & Cloud Enablement: As a senior AWS practitioner within corporate settings, I led cloud centers of excellence and mentored internal staff. This included coaching junior engineers, guiding architecture reviews, and introducing best practices for cost optimization, security, and infrastructure as code using AWS-native tools like CDK and CloudFormation. Certification & Curriculum Development: Collaborated on the development of AWS-aligned learning paths and internal certification prep tracks. I’ve helped dozens of professionals successfully achieve AWS certifications by creating targeted study plans and mock assessments. My unique combination of deep AWS knowledge and real-world corporate insight allows me to bridge the gap between theory and practice, making my teaching highly relevant, engaging, and impactful.

Years of Experience in Microsoft Azure Training

7

Teaching Experience in detail in Microsoft Azure Training

Microsoft Azure Training – Teaching Experience I have provided focused and structured Microsoft Azure training for engineering students, IT professionals, and corporate teams aiming to build or enhance their cloud computing skills, with a particular focus on Azure infrastructure, services, and DevOps integration. Course Development & Delivery Customized Learning Paths: Designed beginner to intermediate-level Azure courses aligned with specific roles like Azure Administrator, Azure Developer, and DevOps Engineer. Certification-Oriented Training: Provided targeted training for certifications such as: Microsoft Certified: Azure Fundamentals (AZ-900) Microsoft Certified: Azure Administrator Associate (AZ-104) Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) Training Content & Focus Areas Core Azure Services Azure VMs, Storage Accounts, Resource Groups, Virtual Networks (VNets), Azure Load Balancer, and Azure App Services Identity & Access Management Azure Active Directory, RBAC (Role-Based Access Control), Policies ARM Templates & Bicep Infrastructure-as-Code basics and hands-on deployment practice Azure DevOps End-to-end DevOps pipeline setup using Azure Repos, Azure Pipelines, Boards, and Artifact management Monitoring & Security Azure Monitor, Log Analytics, Key Vault, Security Center, and Cost Management Hands-on Labs Real-world simulations in Azure portal & CLI: Deploying web apps, configuring load balancing, connecting VNets, automating infrastructure deployment with pipelines Tools & Platforms Used Azure Portal Azure CLI / PowerShell Visual Studio Code with Azure Extensions Azure DevOps Services GitHub Actions + Azure Integration Instruction Methodology Live Demonstrations: Every session included live portal walkthroughs and CLI-based hands-on configuration. Lab Assignments: Students completed lab exercises using free-tier or sponsored Azure credits to gain practical exposure. Project-Based Learning: Participants built mini-projects such as: Hosting a web application with CI/CD pipeline in Azure Setting up autoscaling for services based on metrics Implementing secure secret storage with Azure Key Vault Interactive Quizzes and Review Sessions: To reinforce learning and track progress toward certification readiness. Audience Engineering Students (Final Year & Pre-final Year): Focused on cloud fundamentals and project deployment. Corporate Teams: Delivered sessions for software development and IT support teams transitioning to Azure-based cloud architecture. Career Changers & Working Professionals: Provided crash courses and weekend workshops to help them switch roles into cloud-focused profiles.

Years of Experience in Snowflake Training

5

Teaching Experience in detail in Snowflake Training

I have conducted specialized training sessions in Snowflake – the cloud data platform – for both students and working professionals looking to build careers in cloud data warehousing, data analytics, and modern data architecture.

Years of Experience in BTech Tuition

20

Teaching Experience in detail in BTech Tuition

With 24 years of experience in the software industry, I have regularly visited universities in both India and the USA as a guest lecturer, teaching a variety of computer engineering subjects and sharing my industry knowledge with students

Years of Experience in Class 12 Tuition

15

Teaching Experience in detail in Class 12 Tuition

I have taught Computer Science to many Class 11 and 12 students over the years, and each one of them has performed brilliantly in their exams and practicals. Some of my students have even scored 100% marks in their Class 12 board exams, and many others scored in the high 90s. My teaching style focuses on building strong fundamentals in programming, logic, and core computer science concepts. I make sure every topic — whether it's Python, SQL, Boolean Algebra, database concepts, or logic gates — is explained in a simple and clear way, with practical examples and coding exercises. I strongly believe that if the basics are clear, students can achieve great results. I also give regular practice problems, guide students during their practical exams, and help them write error-free code with confidence. Every student I’ve taught in Class 11 and 12 has rocked in Computer Science, not just in terms of marks, but also in terms of understanding, interest, and real programming skills.

Years of Experience in C++ Language Classes

20

Years of Experience in C Language Classes

20

Years of Experience in MongoDB Training

5

Teaching Experience in detail in MongoDB Training

Corporate & Onboarding Experience: In my corporate roles, I have been entrusted with the responsibility to train newly joined developers and interns on MongoDB, enabling them to: Understand and implement CRUD operations, indexing, and performance tuning Design efficient schema structures for production use cases Build end-to-end backend APIs with MongoDB integrated using Node.js or Python Handle real project datasets and scenarios to simulate deployment-level work Collaborate effectively with existing tech teams and ramp up on live projects

Years of Experience in Python Training classes

10

Teaching Experience in detail in Python Training classes

I have extensive experience in teaching Python to a wide range of learners — from school students (10th–12th grade) to engineering students, working professionals, and corporate teams. Over the years, I have designed and delivered structured Python courses that focus not only on syntax but also on developing problem-solving skills through projects, real-world use cases, and algorithmic thinking. My teaching methodology emphasizes building strong fundamentals first (data types, control structures, functions, OOPs) and then moving into advanced areas (libraries like NumPy, Pandas, Matplotlib, Flask, Django basics, Data Science with Python). Key Highlights of my Python Training Experience: Level-wise Structured Courses: Beginner Level: Introduction to Python, basic programs, input/output, conditionals, loops, functions. Intermediate Level: Lists, tuples, dictionaries, sets, file handling, error handling, modules, libraries (NumPy, Pandas). Advanced Level: OOPs (Classes, Objects, Inheritance), Decorators, Generators, Lambda Functions, Database Integration, Web Development Basics (Flask). Special Focus: Data Analysis (Pandas), simple Machine Learning use cases (sklearn). Audience Taught: Students preparing for Engineering / University courses (taught Data Structures and Algorithms using Python). Working Professionals looking to switch to Data Science, AI/ML careers. Corporate batches for reskilling initiatives (Python for Automation, Data Handling, API integrations). Style of Delivery: Simple to Complex: I explain concepts in simple English, often using real-world analogies (example: explaining variables as "containers in your kitchen"). Step-by-Step Hands-on: Every concept is backed by live coding, quizzes, mini-projects, and assignments. Project-Oriented Learning: Created use cases like Student Database App, Employee Record Analyzer, Sales Dashboard using Python and Excel, Simple Web App in Flask, etc. Error Debugging Training: I train students to read errors, debug logically, and become independent coders. Teaching Modes: One-to-One Coaching (personalized attention, adaptive pace). Small Group Classes (3–10 participants for better interaction). Corporate Online Training (via Zoom, Teams, Google Meet). Tools and Techniques Used: Google Colab, Jupyter Notebooks, VS Code. Interactive Whiteboard teaching using diagrams (flowcharts, memory diagrams, call stacks). Assignment Systems: Weekly assignment submission and feedback cycle. Mock Interviews & Python coding tests for job readiness. Results Achieved: Students have successfully cracked internships, transitioned to Python-based roles, and started Data Science journeys. Several working professionals from non-programming backgrounds (like mechanical engineers, civil engineers) learned Python from me and shifted their careers toward analytics and automation. Unique Strengths: Patience and Adaptability: I adapt my speed and depth depending on whether the student is a school kid, college student, or a professional. Focus on Concept Mastery, not just Syntax: I encourage students to think like programmers rather than just memorize code. Real-world Use Cases: Teaching Python always connected to real-world tasks: file automation, data scraping, small apps, etc.