This course is designed to teach the fundamentals of programming using Python. It covers how to build a program from a series of simple instructions. No prior experience is required, and the course avoids complex mathematics. Anyone with basic computer skills can master the material. Upon completion, students will be prepared to take more advanced programming courses.

Gain a comprehensive understanding of data warehousing concepts and hands-on experience building a DWH with PostgreSQL. This course equips you with the skills to design, develop, and manage robust DWHs, unlocking valuable insights from your data for informed decision-making.

This is an in-depth course designed to teach you how to architect, implement, and manage data warehouses using Google Cloud Platform's BigQuery. You'll learn data modeling, ETL processes, and advanced querying techniques. This course is ideal for aspiring data engineers and analysts seeking to leverage the power of BigQuery for scalable, efficient data warehousing and analytics. No prior experience in GCP is required.

Our SQL course provides a comprehensive introduction to Structured Query Language, essential for managing and querying relational databases. Covering basic to advanced SQL commands, database design principles, and practical exercises, this course equips learners with fundamental database management skills. Whether you're new to databases or aiming to enhance your SQL proficiency, this course offers the necessary knowledge for efficient data manipulation and retrieval.

C++" is an essential programming course covering syntax, data types, control structures, functions, object-oriented programming, and memory management. Designed for beginners and those with prior programming knowledge, it includes practical exercises to reinforce learning. After completing this course, students will be proficient in C++ fundamentals, ready for advanced software development.

Deepen your C++ expertise with Learning Dhara’s Advanced C++ course. Designed for experienced programmers, this course dives into sophisticated C++ concepts and techniques, enhancing your ability to develop complex and high-performance applications. Benefit from personalized 1-to-1 training and hands-on projects that tackle real-world challenges.

MongoDB is a popular NoSQL database known for its flexibility, scalability, and ease of use. Unlike traditional relational databases, MongoDB stores data in a flexible, JSON-like format called BSON, allowing developers to work with unstructured or semi-structured data without the need for predefined schemas. This makes it an ideal choice for modern applications that require fast, iterative development and handle large volumes of diverse data.

This comprehensive course ensures you develop a foundational understanding of MongoDB, covering its principles, architecture, and essential operations. You'll gain hands-on skills installing MongoDB, executing CRUD operations, and navigating its architecture. Progressing to advanced concepts, you'll delve into schema design, indexing, and performance optimisation, incorporating advanced querying techniques using Mongoose.

Welcome to AWS Cloud Practitioner Essentials! This course is designed for anyone new to the cloud, regardless of whether you are in a technical or non-technical role, such as finance, legal, sales, or marketing. This course serves as an excellent foundation for preparing for the AWS Certified Cloud Practitioner certification, allowing you to take the next step in your cloud journey whenever you're ready.

This professional certificate provides the foundational knowledge and skills needed for a career in cloud architecture and prepares you for the AWS Certified Solutions Architect - Associate exam. You'll learn key AWS services, including compute, storage, databases, networking, monitoring, and security, and then move on to designing architectural solutions, managing a data lake, and getting ready for the certification exam.

Welcome to the Cloud Fundamentals course! This course provides a comprehensive introduction to cloud computing concepts, technologies, and services. It equips you with the foundational knowledge needed to work in cloud environments and prepares you for the AWS Cloud Practitioner Certification exam. Ideal for aspiring cloud professionals, IT administrators, software developers, technical leads, and anyone interested in cloud computing, this course requires no prior experience.

Big Data Engineers and professionals with Apache Spark (PySpark) skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases. Finally you will use Spark for ETL/ELT processing, and deployment pipeline in AWS/GCP Cloud.

Gain comprehensive expertise in automating ETL testing on Databricks. This hands-on course equips you with a ready-to-use testing framework, advanced ETL and ISTQB-recognized testing capabilities, and real-world project experience. Become a proficient ETL tester and unlock new career opportunities in data engineering.

Learn essential GCP services and dive deep into BigQuery for efficient data exploration, transformation, and visualization. This beginner-friendly course equips you with the skills to unlock powerful data insights from the cloud.

Get hands-on experience with core GCP services, including Compute Engine, App Engine, Cloud Run, Cloud Functions, Storage, Cloud SQL, IAM, and BigQuery. Learn how to create, deploy, and manage applications and data on the cloud, building a strong foundation for your cloud journey.

Gain a comprehensive understanding of GCP's database solutions, including Cloud SQL, BigQuery, and Spanner. This advanced course equips you with the skills to design, implement, and optimize database architectures on GCP, preparing you for professional certifications and career advancement.

Master core GCP knowledge and services. This in-depth course equips you with the skills to design, deploy, and manage secure and scalable cloud solutions on GCP. Prepare for the certification exam and become a valuable asset in the cloud computing industry.

Unleash the power of Google Cloud Platform for data engineering. This comprehensive course equips you with the skills to build robust data pipelines, analyze massive data with BigQuery, and prepare for the Google Cloud Data Engineer certification, empowering you to become a data-driven decision-making expert.

Gain the expertise to design and deploy secure, scalable, and cost-effective solutions on GCP. This in-depth course equips you with the knowledge and skills to excel in the Google Cloud Architect certification exam, propelling you towards a leadership role in cloud architecture.

This is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology.

Human vision extends beyond the mere function of our eyes; it encompasses our abstract understanding of concepts and personal experiences gained through countless interactions with the world. Historically, computers could not think independently. However, recent advancements have given rise to computer vision, a technology that mimics human vision to enable computers to perceive and process information similarly to humans.

In this course, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically.

In this course, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.

In this course, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more.

In this course, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more.

Project professionals are actively exploring and experimenting with Generative AI, leading to varied adoption rates and impacts. Existing research has delved into theoretical aspects and potential uses of this technology—but it has lacked insight into how project professionals are applying it, what factors are facilitating adoption, and who the key drivers within organizations are. It’s evident that GenAI adoption is more than just embracing a new technology.

Gain in-depth knowledge of ETL testing methodologies and tools. Learn to design, execute, and automate ETL tests, ensuring data quality and integrity. This comprehensive course equips you with the skills to become a proficient ETL tester and contribute to successful data projects.

Gain in-depth knowledge of database testing methodologies and tools. Learn to design, execute, and automate database tests, ensuring data quality and integrity. This comprehensive course equips you with the skills to become a proficient database tester and contribute to successful data projects.

Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers.

Terraform is an infrastructure-as-code software tool created by HashiCorp. Users define and provide data center infrastructure using a declarative configuration language known as HashiCorp Configuration Language, or optionally JSON.

Kubernetes is an open-source container orchestration system for automating software deployment, scaling, and management. Originally designed by Google, the project is now maintained by a worldwide community of contributors, and the trademark is held by the Cloud Native Computing Foundation.

Gain comprehensive knowledge of testing methodologies and tools for ETL and database systems. Learn to design, execute, and automate tests, ensuring data quality and integrity. This course equips you with the skills to become a proficient tester in both ETL and database domains, contributing effectively to data projects.

Our Internship and Certificate Services offer learners the opportunity to gain practical experience and formal recognition in their chosen fields. This service provides access to internship placements with industry partners, along with certification upon successful completion. It combines hands-on learning with credentialing to enhance employability and professional development.

Build robust, scalable, and reliable databases for your cloud applications. This course equips you with essential SQL skills and Cloud SQL expertise to manage your data effectively. Gain hands-on experience designing, deploying, and optimizing databases on the Google Cloud Platform.

Elevate your database design skills to the next level. This Advance comprehensive course equips you with the strategies to build scalable, high-performance, and secure databases on Cloud SQL. Learn advanced modeling techniques, optimization strategies, and best practices for designing robust cloud-native databases.

Gain the essential SQL skills to extract, analyze, and visualize data effectively. This comprehensive course equips you with the knowledge to query databases, manipulate data, and generate actionable insights. Learn SQL from scratch and become a proficient data analyst.

Gain the essential SQL skills to extract, analyze, and prepare data for data science projects. This comprehensive course equips you with the knowledge to query databases, manipulate data, and transform raw data into valuable insights.

Gain a comprehensive understanding of SQL and its applications in data analysis. This course equips you with the skills to extract, manipulate, and analyze data effectively, enabling you to make data-driven decisions. Learn from expert instructors and practice with real-world datasets.

In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication.

This specialization will prepare learners to use AWS services for designing, building, securing, and maintaining data and database solutions. If you're seeking a job in a database role, this focused course will provide you with enough skills and knowledge to become AWS Certified Data Engineer - Associate certified.

In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication.

This specialization will prepare learners to use AWS services for designing, building, securing, and maintaining data and database solutions. If you're seeking a job in a database role, this focused course will provide you with enough skills and knowledge to become AWS Certified Data Engineer - Associate certified.

This course is designed to teach the fundamentals of programming using Python. It covers how to build a program from a series of simple instructions. No prior experience is required, and the course avoids complex mathematics. Anyone with basic computer skills can master the material. Upon completion, students will be prepared to take more advanced programming courses.