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4+ hours of lectures to help you learn the basics. You don't know "P" of python? You don't know "T" of Technology? No problem. This is made for people who want to learn. It doesn't matter if you are in school/Non-IT professional, starting your journey etc. Topics covered: What is python? Why to use? Variables Data types: Int, Float, Strings String Methods Type Conversion Lists Lists Methods Tuples Tuples Methods For loops Functions Numpy - Basics + Additional Resources! You can work as a Data Analyst, Data Scientist, Data Engineer, SDE etc by using Python!

Learning Objectives By the end of this course, students will be able to: Understand WordPress Fundamentals: Explain what WordPress is and its benefits. Differentiate between WordPress.org and WordPress.com. Set Up a WordPress Website: Choose a domain name and hosting provider. Install WordPress and configure basic settings. Customize WordPress Themes: Select and install themes. Customize themes using the WordPress Customizer and page builders. Manage Content Effectively: Create and organize posts and pages. Utilize categories, tags, and menus for better navigation. Enhance Functionality with Plugins: Install and configure essential plugins. Understand plugin best practices and security. Optimize for SEO and Performance: Implement SEO strategies using plugins. Optimize website speed and performance. Secure and Maintain Your Website: Implement security measures to protect your site. Perform regular maintenance and updates. Monetize Your WordPress Site: Explore various monetization strategies. Set up e-commerce functionalities. Course Structure Module 1: Introduction to WordPress Lesson 1.1: What is WordPress? History and evolution WordPress.org vs. WordPress.com Lesson 1.2: Why Choose WordPress? Benefits and features Case studies of successful WordPress sites Lesson 1.3: Overview of the WordPress Dashboard Navigating the dashboard Understanding key features Module 2: Setting Up Your WordPress Site Lesson 2.1: Choosing a Domain Name and Hosting Tips for selecting a domain Overview of hosting providers Lesson 2.2: Installing WordPress One-click installations Manual installation steps Lesson 2.3: Configuring Basic Settings General settings Permalinks and reading settings Module 3: Selecting and Customizing Themes Lesson 3.1: Choosing the Right Theme Free vs. premium themes Criteria for selecting a theme Lesson 3.2: Installing and Activating Themes Theme installation process Activating and previewing themes Lesson 3.3: Customizing Your Theme Using the WordPress Customizer Introduction to page builders (e.g., Elementor, Divi) Module 4: Managing Content Lesson 4.1: Creating and Editing Pages Difference between posts and pages Adding multimedia content Lesson 4.2: Blogging with WordPress Setting up your blog Writing and publishing posts Lesson 4.3: Organizing Content Categories and tags Creating menus and navigation Module 5: Enhancing Functionality with Plugins Lesson 5.1: What Are Plugins? Understanding plugins and their uses Lesson 5.2: Essential Plugins for Every WordPress Site SEO, security, backups, and more Lesson 5.3: Installing and Managing Plugins Searching, installing, and activating plugins Best practices for plugin management Module 6: SEO and Performance Optimization Lesson 6.1: Introduction to SEO Importance of SEO for WordPress Lesson 6.2: SEO Best Practices On-page and off-page SEO techniques Using SEO plugins (e.g., Yoast SEO) Lesson 6.3: Optimizing Website Speed Caching solutions Image optimization techniques Module 7: Security and Maintenance Lesson 7.1: Securing Your WordPress Site Common security threats Implementing security measures Lesson 7.2: Regular Maintenance Tasks Updating WordPress, themes, and plugins Backup strategies Lesson 7.3: Troubleshooting Common Issues Fixing common WordPress errors Restoring from backups Module 8: Monetizing Your WordPress Site Lesson 8.1: Introduction to Monetization Various ways to monetize a WordPress site Lesson 8.2: Setting Up an Online Store Installing and configuring WooCommerce Managing products and payments Lesson 8.3: Affiliate Marketing and Advertising Implementing affiliate links Displaying ads on your site Module 9: Advanced WordPress Techniques Lesson 9.1: Custom Post Types and Taxonomies Creating and managing custom content types Lesson 9.2: Introduction to WordPress Themes Development Basics of theme development Lesson 9.3: Working with WordPress APIs Utilizing REST API for advanced functionalities Module 10: Launching and Scaling Your WordPress Site Lesson 10.1: Pre-Launch Checklist Ensuring everything is ready for launch Lesson 10.2: Marketing Your WordPress Site Strategies for driving traffic Lesson 10.3: Scaling Your Site Handling growth and increased traffic Advanced optimization techniques

PLEASE COMPLETE PAYMENT & SHARE SCREEN SHOT AND GMAIL ID ON WHATASPP TO GET ACCESS. UPI NO : +91 9542421540 WHATSAPP : +91 9100665231 🎓 Attended 2 Free Classes 📅 ⏰ Everyday, Same Time 🔥 Course Benefits – All for ₹30,000 INR! ✅ Lifetime Access Revisit recordings anytime, anywhere – your learning, your way! 📚 Daily Notes & E-books Clear, practical notes and premium e-books delivered daily. 💼 Job-Ready Profiles We’ll optimize your Naukri & LinkedIn profiles for success. 🎯 Mock Interviews Crack interviews with confidence through expert-led mock sessions. 🚀 Bonus Perks Real-world projects 🛠️ Certification support 🏅 Personalized career guidance 💡 💡 Join now and take the first step toward your dream career! What You'll Learn: MLOps Fundamentals: Automating ML workflows and deployment. AWS, Azure, and GCP: Hands-on experience with major cloud platforms. DevOps Practices: CI/CD, containerization, and orchestration. Data Engineering Skills: Building scalable and reliable data pipelines. Real-World Applications: Practical use cases in multi-cloud environments. This session is ideal for aspiring MLOps professionals, DevOps engineers, and data engineers aiming to upskill and advance their careers. 🔑 Key Features: Live interactive training. Industry-relevant projects and demos. Guidance from experienced trainers. MLOps Course Syllabus 🚀 Who Can Apply for the Course? 🧑‍💻🎓 This course is designed for a wide range of professionals and enthusiasts who want to master MLOps and related technologies. Here’s who will benefit the most: 👩‍🔬 Data Scientists Bring your models to production with confidence and scale! 📊 Data Engineers & Data Analysts Elevate your data pipelines and workflows with MLOps tools. 🔬 Research/Applied Scientists Optimize experiments and streamline your AI research lifecycle. 🤖 ML Engineers Build robust CI/CD pipelines and take your ML expertise to the next level. 🛠️ DevOps Engineers Transition into MLOps by applying your DevOps skills to ML workflows. ✨ Aspiring MLOps Professionals & Enthusiasts Dive into the world of MLOps and become future-ready in AI and ML technologies. 🚀 Machine Learning Professionals Learn to seamlessly deploy models into production environments. 🐳 Docker & Kubernetes Enthusiasts Gain hands-on experience with Docker, Kubernetes, and cloud-native MLOps tools. ☁️ Cloud Practitioners Master AWS, Azure, GCP, and other cutting-edge tools like DVC, Feast, and MLFlow. 💡 Individuals Interested in Data and AI Industry Stay ahead in the rapidly evolving world of data and AI Module 1: MLOps Introduction 💡 🌟 What is MLOps? 🌐 State of Machine Learning 🛠️ Machine Learning Industrialisation Challenges 🤖 AI Industrialization Challenges 🎯 MLOps Motivation: High-Level View ❗ MLOps Challenges 🔄 MLOps Challenges Similar to DevOps 🧩 MLOps Components 🔬 Machine Learning Life Cycle 🔗 How Does It Relate to DevOps, AIOps, ModelOps, LLMOps, FMOps, and GitOps? 🏆 Major Phases - What It Takes to Master MLOps 📝 Case Study: CI/CD in Production Module 2: Overview of ML and MLOps Stages 🧠 📈 MLOps Maturity Model 📋 Detailed MLOps and Stages: 📂 Versioning Data, Code, Model, Features & Containers 🧪 Testing 🔧 Automation (CI/CD) 🔁 Reproducibility 🚀 Deployment 🛡️ Monitoring 🤖 Automated ML Pipelines vs CI/CD ML Pipelines 🏗️ MLOps Architectures:Open Source Tools: Kubeflow, Apache Airflow, MLFlow, Metaflow, Kedro, ZenML, MLRun, CML Cloud-Native Tools: AWS, GCP, and Azure ⚖️ The Cost-Benefit Approach of Each Architecture and MLOps Maturity 🛠️ List of Tools Involved in Each Stage (MLOps Tool Ecosystem) 👩‍💻 Different Roles Involved in MLOps (ML Engineering + Operations) Module 3: Git Essentials for MLOps Practitioners 🖇️ [Hands-On] 🗂️ Overview of Git 🌲 Understanding Branching Strategies and REPO 🔀 Standard Git Branching Strategies: Development, Feature, Bug, Release, UAT 🛠️ Practising Important Git Commands 🤝 GitHub Action Overview and Working 📂 GitHub Remote Repository 🎯 Project: Mastering Git: Commands, Branching, and Collaboration Module 4: CI/CD Strategies for AWS, Azure, GCP, and GitHub Actions ⚙️ [Hands-On] 🔄 Introduction to CI and CD 🤖 CI/CD in Machine Learning Operations 📋 Steps Involved in the CI/CD Implementation in ML Lifecycle and Workflow 🛠️ A Glimpse of Popular Tools Used in the DevOps Ecosystem on the Cloud: 1. AWS DevOps 🛠️ AWS CodePipeline 🛠️ AWS CodeBuild 🛠️ AWS CodeDeploy 🛠️ AWS CodeCommit 🎯 Project: AWS DevOps Pipeline 2. GCP DevOps ☁️ Cloud Run ☁️ Cloud Build ☁️ Cloud Deploy ☁️ Artifacts Registry ☁️ Cloud Source Repositories 🎯 Project: GCP DevOps Pipeline 3. Azure DevOps 🔷 Azure Boards 🔷 Azure Repos 🔷 Azure Pipeline 🔷 Azure Test Plans 🔷 Azure Artifacts 🛠️ Infrastructure as Code (IaC) with Azure DevOps 🛠️ YAML Pipeline Structure 🎯 Project: Azure DevOps Pipeline 4. GitHub Actions 🤖 Introduction to GitHub Actions 🔧 GitHub Actions YAML Pipeline Structure 🤝 GitHub Action Automation & Custom Workflows 🌐 GitHub Pages 🎯 Project: GitHub Actions Pipeline Module 5: Docker and Kubernetes Overview 🐳 + ☸️ [Hands-On] Docker Foundation 📥 Installing Docker on Windows, macOS & Linux 🔧 Managing Containers with Docker Commands ❓ How Does It Work? Docker Registry - Docker Hub 🖼️ Building Your Own Docker Images 🕸️ Docker Network Types 💾 Docker Volumes 📦 Docker Compose 🌐 Docker Swarm 🎯 Projects:Deploy a Node.js App in a Docker Container Deploy an ML Model in a Docker Container Deploy a Complete End-to-End ML Model with Docker Compose Kubernetes Overview ☸️ Kubernetes Architecture: Worker Nodes Control Plane Virtual Network API Server CLI Tool - kubectl ☸️ Kubernetes Resources: Pod ConfigMap Service Secret Ingress Deployment StatefulSet DaemonSet Volumes (PVC) ☸️ Minikube 🎯 Project: Deploy an ML Model in a Kubernetes Cluster Module 6: Kubernetes Deployment Strategy ☸️ [Hands-On] 📦 Kubernetes Deployment Strategy Types 📊 Monitoring 🩺 Liveness and Readiness Probes 🏷️ Labels and Selectors ☁️ Amazon Elastic Kubernetes Service (EKS) 🎯 Project: Deploy a Kubernetes Infrastructure on Amazon EKS and Deploy an ML Model on EKS Module 7: High-Level Overview of Model Management Tools 🛠️ 🤔 What is Model Management? 📋 Activities in Model Management: Data Versioning Code Versioning Experiment Tracker Model Registry Model Monitoring 🛠️ Overview of Model Management Tools:MLFlow 🎯 Project: Deploy MLFlow Stack on the Cloud 🎯 Project: Build, Train, and Deploy an ML Model Using MLFlow DVC (Data Version Control) Versioning Data and Models DVC with Git Workflows Data Source for DVC 🎯 Project: Version Data Stored in Cloud Storage Services Git LFS (Large File Storage) Module 8: Feature Store 📊 [Hands-On] 📘 Introduction to Feature Stores: SageMaker Feature Store, Vertex AI Feature Store, Databricks, Tecton, Feast, Hopsworks 🔍 Feast Open Source Feature Store 🔄 Online vs Offline Feature Store 🎯 Project: Deploy Feast Online/Offline Feature Store ☁️ Feast Feature Store on Cloud 📈 Monitor Features Programmatically 📊 Visualizing Feature Drift Over Time Module 9: Deep Dive into MLOps Cloud Services (AWS, Azure & GCP) ☁️ [Hands-On] AWS SageMaker 🤖 Introduction to Amazon SageMaker 🛠️ Using Amazon S3 Along with SageMaker 📝 SageMaker Notebooks: Instance Type, IAM Role & VPC 🚀 Build, Train & Deploy ML Models Using SageMaker 📡 Endpoint & Endpoint Configurations 🧠 Generate Inference from Deployed Models SageMaker Pipelines SageMaker Studio & Domain SageMaker Projects Pipelines & Graphs Experiments Model Groups 🎯 Project: Deploy an End-to-End MLOps Pipeline Using SageMaker Studio GCP Vertex AI 🌟 Introduction to Vertex AI 📥 Gather, Import & Label Datasets 🚀 Build, Train & Deploy ML Solutions 🛡️ Manage Your Models with Confidence 📊 Pipelines Throughout the ML Workflow 🔄 Adapting to Changes in Data 🎯 Project: Deploy an End-to-End MLOps Pipeline Using Vertex AI Azure MLOps 🛠️ Azure Machine Learning Studio 🧩 Azure MLOps Components 🔧 Azure MLOps + DevOps Integration 🔄 Fully Automated End-to-End CI/CD ML Pipelines 🎯 Project: Deploy an End-to-End MLOps Pipeline with Azure Machine Learning Module 10: Kubeflow Stack and ML Pipeline Development ☸️ 📘 Kubeflow Introduction 🌍 Who Uses Kubeflow? 🧩 Kubeflow Components 🛠️ Kubeflow Features 🎯 Kubeflow Fairing 🔄 Kubeflow Pipelines 🏗️ Kubeflow Use Cases 🎯 Project: Deploy a Kubeflow Stack and Create End-to-End ML Pipelines Module 11: MLOps for LLMs (LLMOps) & Generative AI 🤖 [Demo] 🌟 What is LLM? 🛠️ MLOps for LLMs 🔄 FMOps/LLMOps: Operationalizing Generative AI 📐 LLM System Design 📊 High-Level View of LLM-Driven Applications 🔧 LLMOps Pipeline Module 12: Understanding Model Monitoring (AWS, Azure & GCP) 🛡️ [Hands-On] 🚨 Importance of Model Monitoring 📋 Various Types of Monitoring Related to ML Models 🏗️ Architecture of Monitoring Ecosystem in AWS, Azure, and GCP: AWS Model Monitoring Azure Model Monitoring GCP Model Monitoring 🌍 Optimize and Manage Models at the Edge 🚀 Common Issues in ML Model Deployment 🔄 Role of Feedback Loop 🎯 Project: Model & Infrastructure Monitoring Using Cloud Tools Module 13: Introduction to AutoML Tools 🛠️ [Demo] 🔄 H2O MLOps 🌟 Valohai 🛠️ Domino Data Lab 🧠 Neptune.ai 🛡️ Iguazio 📊 Weights & Biases (W&B) Module 14: Post-Deployment Challenges ⚙️ [Hands-On] 🚧 Introduction to Post-Deployment Challenges ❗ ML-Related Post-Deployment Challenges 🌍 Challenges When Deploying ML to Edge Devices 📊 Monitoring Drift with Evidently AI 🔄 Common Software Engineering Challenges in ML Deployment 🎯 Project: Use Evidently AI for Monitoring Data Quality and Drift Module 15: Other Open-Source/Cloud Tools for MLOps 🌐 [Self-Paced + Hands-On] Jenkins 🔄 Understanding Jenkins CI/CD 🔧 Jenkins Plugins 📋 Pipeline as Code 🌍 Distributed Builds 🖥️ Jenkins User Interface 🤝 Integration with SCM Tools 📊 Monitoring and Reporting 🎯 Projects:Building a Python Application with Jenkins Pipelines Build End-to-End ML Pipelines Using Jenkins, Docker Containers, and MLflow Apache Airflow 📘 What is Apache Airflow? 🔄 Airflow Workflows and Use Cases 🛠️ Airflow Benefits and Components: DAG (Directed Acyclic Graph) Airflow Tasks, Operators, and Hooks 🎯 Projects:Build Scheduled ETL Pipelines with Apache Airflow Build Scheduled End-to-End ML Pipelines Google Kubernetes Engine (GKE) ☸️ Introduction to GKE 📊 Benefits and Limitations of GKE 🎯 Project: Deploy a Kubernetes Infrastructure on GKE and Deploy an ML Model Azure Kubernetes Service (AKS) 🔷 Overview of AKS and When to Use It 🌟 Features of AKS 🎯 Project: Deploy a Kubernetes Infrastructure on AKS and Deploy an ML Model Terraform 🔧 What is Terraform? 🛠️ Infrastructure as Code (IaC) Using Terraform 📋 Terraform Configuration and Stages 🎯 Projects:Build, Modify, and Destroy Docker Infrastructure for ML Model Deployment Build, Change, and Destroy AWS Cloud Infrastructure Argo Workflows 🌟 Introduction to Argo Workflows 🔄 CI/CD with Argo Workflows on Kubernetes 🛠️ Argo Templates and UI 🎯 Project: Build End-to-End Scheduled ML Pipelines Using Argo Workflows Please contact +91 9100665231 For more information and details about the course and fees

This is a beginner friendly course which helps you learn how you can create faceless videos using AI tools for social media platforms such as Instagram, Youtube or Facebook. Note: No experience needed on AI This simple course teaches you below Which tools can be used for the creation of faceless videos How can you earn money with these tools How to use AI to create a script for the video How to create the audio and video using AI tools How to edit the audio and video for the final output

AI Engineer Complete Course – On-Demand Recordings 📅 35+ Sessions | Real Projects | Enterprise Ready Master the art of AI Engineering with this comprehensive, industry-grade course designed to take you from beginner to pro. These are not just theory classes – these are real, practical, hands-on sessions recorded LIVE with full code, walkthroughs, and enterprise-ready use cases. You’ll learn: Core AI & ML Concepts Tokenization, POS, Word Embeddings, TF-IDF Machine Learning from Scratch: Preprocessing, Regression, Clustering ML Metrics and Reinforcement Learning GenAI Applications Build LLM Chatbots (Text, CSV-based, Streamlit) RAG (Retrieval-Augmented Generation) Systems Tool Calling, Prompt Engineering, Output Parsers Production & Cloud Integration Azure AI Studio, Key Vaults, Promptflow Docker, Containers, Deployments System Design for AI Apps AI Agents & LangGraph Build REACT Agents & LangGraph Workflows Memory, Streaming, Tool Calling Enterprise Projects: Copilot Architecture, Change Detection System No-Code Workflows & Agentic Systems RAG & Agentic RAG with N8N Frontend + Backend integration for GenAI Apps Upcoming Recording Additions Crew AI, Semantic Kernel, Google ADK, OpenAI SDK LLMOps, Fine-Tuning, MCP, A2A, Advanced System Design Every class comes with code + walkthrough + Q&A. Ideal For: Aspiring AI Engineers & ML Practitioners Working Professionals transitioning into GenAI Final-year Students building resume-ready AI Projects Ready to learn? ✅ Get lifetime access to all recordings ✅ Code + Notes included ✅ Continuous updates with future sessions

This is the exact AI roadmap I personally followed to crack 13 internships in AI at top companies like Amazon, IBM, EY, Infosys,etc — and land 6 job offers in the AI domain in under 60 days. From Python basics to deploying your own autonomous AI agents on the cloud, this step-by-step guide is designed to fast-track your AI career. Whether you’re starting your AI journey or aiming to level up your skills, this roadmap is designed to fast-track your success and make you job-ready in record time.

The MA Development Studies 2026 Course (₹999) is a focused and affordable preparation program for students aiming to pursue a Master’s in Development Studies at IITs and other reputed institutions. It offers a structured way to understand key concepts, theories, and recent developments that commonly appear in entrance exams. This course is designed for learners who prefer clarity over complexity - with easy explanations, relevant examples, and practice exercises based on previous question trends. You will get access to reading materials, topic notes, mock tests, and interview guidance to make your preparation well-rounded. What You’ll Get After Enrollment Structured learning modules covering all major topics Concept explanations in simple English Access to study PDFs and curated reading lists Mock practice questions for self-assessment Guidance for interview round (recorded sessions or notes) Certificate of participation (optional) (With extra fees) Who Can Join Students preparing for MA Development Studies or related entrance exams at IITs (Mandi, Guwahati, Hyderabad, Tirupati, etc.) Graduates from any discipline (Arts, Commerce, Science, Engineering) interested in social development and public policy Those who want a clear understanding of development theories, Indian socio-economic issues, and policy debates What This Course Is (and Isn’t) This course is a guidance-oriented resource, not a guaranteed result program. It helps you organize your preparation, strengthen concepts, and understand the exam pattern better - but your results depend on your individual effort and practice. It’s ideal for self-motivated learners who want structured support without spending much. Duration: Self-paced (6–8 weeks recommended) Language: English (Easy and Understandable) Course Fee: ₹999 (One-time access) 🔗 How to Enroll Click the “Join Course” button below. You’ll be redirected to the secure Topmate payment page. Complete your payment and get instant access to the course content. Login Topmate using id password (sent over email and Whatsapp) Go to products/ service section, their you can access again.

Eligible : Open To all Freshers & College Students (UG,PG) What We Offer ? (Mode : Online Remote ) ✅ Internship + Training with Offer Letter & Course Completion Certificate ✅ ₹25,000 Per Month Internship For 6 Months After Course Completion . ✅PPO up to 4.5–8 LPA( Based on internship performance ) ✅ Duration: 1 to 6 Months. ✅ Weekend Live Session: Every Sunday at 6 PM ✅ Letter of Recommendation Included ✅ 100% Placement Support After Course + Projects ✅ 4 Minor & 2 Major Real-Time Projects ✅ Lab Sessions for Every Chapter ✅ Python Programming: Scratch to Advanced Level ✅ Recorded Theory & Lab Sessions + Weekly Assignments 📘 Python Course Index – Scratch to Advance Introduction to Python Python Installation & Setup Basic Syntax and Structure Variables and Data Types Operators in Python Input, Output & Type Casting Control Statements (if, elif, else) Loops (for, while) Functions & Lambda Expressions Lists, Tuples, Sets & Dictionaries Strings & String Methods Modules & Packages File Handling Exception Handling Object-Oriented Programming (OOP) Python Libraries (OS, Math, Random, etc.) Virtual Environments & PIP Python Data Structures (Advanced) Regular Expressions (Regex) Python Decorators & Generators Working With JSON & APIs Python Database Connectivity (MySQL / SQLite) Python for Data Analysis (Pandas, NumPy) Python for Visualization (Matplotlib) Python for Automation (Scripting) Testing & Debugging in Python Mini Projects Major Projects (Advanced)

Career Essentials is your fast-track foundation program designed to help you survive, succeed, and shine in today’s competitive job market — absolutely FREE. Most professionals jump into job hunting or career growth without the basics nailed down. This course fixes that. Inside, you’ll learn: 🔥 Introduction Understand what actually drives career success today — and why traditional advice is outdated. 🔥 Find a Job Smart job search strategies that work in today’s market, even when competition is high and opportunities look limited. 🔥 Hidden Job Market The BIGGEST opportunity zone where 70%+ jobs exist — but most people never access. Learn how to tap into opportunities not posted anywhere. 🔥 Retain a Job How to become the professional companies want to keep — even during layoffs, recession, or uncertainty. 🔥 Grow in a Job How to get noticed, increase influence, build visibility, and create growth opportunities without begging for them. By the end, you’ll walk away with: Confidence Clarity A job and career strategy most professionals never learn A system that gives you the upper hand in any market This course is your entry gateway into the powerful career growth system we teach inside our advanced membership — and it’s your chance to see the impact before you invest further. Ready to build a career you control — not one controlled by the market? Jump in. 🚀

Eligible : Open To all Freshers & College Students (UG,PG) What We Offer ? (Mode : Online Remote ) ✅ Internship + Training with Offer Letter & Course Completion Certificate ✅ ₹25,000 Per Month Internship For 6 Months After Course Completion. ✅PPO up to 4.5–8 LPA( Based on internship performance ) ✅ Duration: 1 to 6 Months . ✅ Weekend Live Session: Every Sunday at 6 PM ✅ Letter of Recommendation Included ✅ 100% Placement Support After Course + Projects ✅ 4 Minor & 2 Major Real-Time Projects ✅ Lab Sessions for Every Chapter ✅ Java Full Stack Web Development : Scratch to Advanced Level ✅ Recorded Theory & Lab Sessions + Weekly Assignments 📘 Java Full Stack Web Development Course Index – Scratch to Advance Introduction to Full Stack Development Java Programming Basics Advanced Java Concepts Git & GitHub Frontend Development (HTML, CSS, JavaScript) Advanced JavaScript Backend Development with Python Frameworks (Flask/Django) REST API Development Database Management (SQL & ORM) Frontend–Backend Integration Full Stack Project Development Deployment & Hosting Testing & Debugging Advanced Topics in Full Stack Minor & Major Projects Career Preparation & Interview Training

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Includes Core Java, OOP, Collections, Multithreading, Spring Boot, Microservices, JPA/Hibernate, Kafka, Redis, SQL, System Design (HLD & LLD), scenario-based questions, coding rounds, and architecture discussions - all exactly as asked in real interviews.

• Helps children identify random objects, fruits, vegetables, animals, and vehicles • FREE alphabet charts included at the end • Encourages real-life observation and hands-on learning • Improves memory, focus, and vocabulary • Builds daily learning routine and consistency • Includes empty check boxes for easy progress tracking • Supports independent learning and confidence building • Suitable for home, preschool, and daycare use • Fun, simple, and effective daily brain activity for kids

Master CA Intermediate Law with an All India Rankholder Chartered Accountant Law is one of the most concept-driven and scoring subjects in CA Intermediate, yet many students find it difficult due to heavy provisions, case laws, and answer-writing expectations of ICAI. The real challenge is not studying law, but presenting it correctly in the exam. To bridge this gap, I have uploaded my complete CA Intermediate Law video lectures, designed to help students understand concepts clearly, remember provisions easily, and write answers exactly the way ICAI expects. Why Learn Law From Me? I am a Chartered Accountant with All India Rank at every level of the CA course — Foundation, Intermediate (both groups), and Final. Having consistently secured ranks, I know precisely: ✔️ How ICAI frames law questions ✔️ What keywords fetch full marks ✔️ How to structure answers for case-study-based questions ✔️ How to revise vast law portions efficiently What These Lectures Cover 📘 Complete coverage of CA Intermediate Law syllabus, including: Indian Contract Act Sale of Goods Act Partnership Act & LLP Act Companies Act (as applicable for CA Inter) 📌 Concept-wise explanation with practical examples 📌 Section-wise clarity with simple language 📌 Case-law understanding without unnecessary complexity 📌 Answer-writing formats for theory & case study questions 📌 Important past exam questions and ICAI trends 📌 Exam-oriented revision pointers & memory techniques How These Lectures Will Help You ✨ Build strong conceptual clarity instead of rote learning ✨ Improve speed and accuracy in case-study questions ✨ Learn how to quote sections confidently in exams ✨ Understand how to fetch step-wise marks in law answers ✨ Reduce fear of law and convert it into a scoring subject Whether you are preparing for your first CA Intermediate attempt or repeating the subject, these lectures are structured to support you at every stage of preparation—from basic understanding to final revision. Who Should Enroll? 🔹 CA Intermediate students struggling with Law 🔹 Students aiming for exemptions or high scores 🔹 Aspirants who want structured, exam-oriented preparation 🔹 Students who want guidance from someone who has cleared CA with ranks at every level My Teaching Philosophy I don’t believe in teaching law as a memorisation subject. My focus is on: ✔️ Understanding the logic behind provisions ✔️ Applying law confidently to practical situations ✔️ Writing answers that match ICAI’s evaluation style These lectures are not just about passing the exam—they are about mastering the subject.

1.5-Hour Online Course This masterclass is designed to help entrepreneurs and business owners choose the right brand name with clarity and confidence. A brand name plays a critical role in positioning, recall, and trademark protection. Making the wrong choice can lead to legal conflicts and rebranding costs. In this course, Siju Rajan, Brand & Trademark Law Expert, explains 10 different types of brand names and how to identify the most suitable naming type based on your business model, industry, and long-term vision. The course provides a structured approach to brand naming rather than guesswork or trial-and-error. You will also learn how to generate brand name ideas using ChatGPT, with proper prompts and practical guidance, and how to check brand name availability to avoid legal and trademark issues at an early stage. By the end of the course, you will: Understand the different categories of brand names Know how to select the right naming strategy for your brand Use downloadable AI prompts to generate brand name ideas Learn how to check brand name availability Gain clarity to finalize or confidently shortlist your brand name This is a recorded online course, allowing you to learn at your convenience. Ideal for: Entrepreneurs, startup founders, business owners, creators, and professionals planning to build a brand.

✨ VISION BOARD & LAW OF MANIFESTATION ✨ Manifesting is not about wishful thinking - it’s about alignment, activation & daily energy work. In this workshop, you will learn: 🌟 How vision boards actually work with the subconscious 🌟 How to activate your vision board 🌟 How to energise it daily for faster results 🌟 Law of Attraction 🔮 I will also help you empower your vision board with: ✨ Powerful Sigils ✨ Ancient Runes ✨ Angel Numbers 🎨 Live demo: Create your Vision Board step-by-step on Canva 🎁 You’ll Get: ✔️ PDF Guide ✔️ Sigils (named separately) ✔️ Runes ✔️ Angel Numbers ✔️ Certificate ✔️ Lifetime Recording ✔️ Lifetime WhatsApp Support ✨ Create your 2026 consciously. Limited seats.

📘 DSA Roadmap Course – From Zero to Interview-Ready This DSA Roadmap Course is a structured, step-by-step guide designed to help you master Data Structures and Algorithms in the right order, without confusion or random learning. Instead of jumping between scattered tutorials, this course gives you a clear roadmap, showing what to learn, why to learn it, and how each concept connects to real interview problems. At the core of this course, you’ll be guided using a comprehensive DSA overview video, which acts as your master reference point, and the course expands on every topic mentioned in it. 🎥 What the Included Video Covers (Your Learning Blueprint) The provided video acts as your DSA foundation and roadmap, covering all major concepts that every software engineer must know: 🔹 Core Data Structures Arrays Linked Lists Stack Queue Hash Maps Hashing Collision handling Heaps 🔹 Trees & Searching Binary Tree Binary Search Tree (BST) Binary Search 🔹 Graph Algorithms Graphs (basics & representation) BFS (Breadth First Search) DFS (Depth First Search) Topological Sort Dijkstra’s Algorithm 🔹 Sorting & Algorithmic Techniques Selection Sort Merge Sort Divide and Conquer strategy 🧠 What This Course Actually Teaches You (Beyond Just Topics) This is not a memorization-based course. You’ll learn: ✔ How each data structure works internally ✔ When and why to use a specific algorithm ✔ How BFS and DFS differ and where they are applied ✔ How trees and graphs are used in real applications ✔ Why sorting algorithms behave differently ✔ How divide-and-conquer optimizes performance ✔ How interview problems are built using these concepts Each topic is connected logically so your understanding grows step by step, just like a roadmap. 🎯 Who This Course Is For Beginners who don’t know where to start with DSA Students preparing for coding interviews Developers who know syntax but lack problem-solving confidence Anyone tired of random DSA tutorials without direction 🚀 What You’ll Gain by the End ✅ A clear DSA roadmap you can follow confidently ✅ Strong fundamentals in data structures & algorithms ✅ Ability to understand and approach interview-level problems ✅ Confidence to progress toward FAANG / product-based companies ✅ A lifelong foundation for efficient and scalable coding

"In this Urdu Life Video Editing Course, I’ll teach you step-by-step how to create videos, edit images, bring your imagination to life, and master complete video editing skills – all explained in Urdu, simple and practical for everyone!"

Certification in Power BI for AML & Compliance is a practical, foundation-to-intermediate level course designed for compliance and AML professionals who want to build meaningful dashboards and reports using Microsoft Power BI. This course focuses on real-world AML and compliance scenarios such as transaction monitoring, risk segmentation, alert analysis, and management reporting. Learners will understand how to transform raw transactional data into structured datasets, create insightful visuals, and present compliance insights clearly to stakeholders. The emphasis is on business understanding and reporting, not advanced technical concepts. Participants will learn how to design dashboards that support decision-making, highlight risk trends, and communicate compliance outcomes effectively. By the end of the course, learners will be able to: Build AML and compliance dashboards using Power BI Create management-ready reports and KPIs Interpret and present AML insights confidently This certification is ideal for AML analysts, compliance officers, risk professionals, and anyone involved in financial crime monitoring who wants to use Power BI in a practical and job-relevant way. We strictly follow No-Refund Policy.

This course covers, Session 1: Introduction to Business Analysis Freelancing Session 2: Creating a complete profile on Upwork Session 3: How to bid for the projects? After this course, You should be able to set your account on Upwork You will get basic knowledge about the platform You will be ready to bid for the project

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