Certified Data Engineering Foundation Course
Development100% OFF

Certified Data Engineering Foundation Course

Udemy Instructor
0(2.3K students)
Self-paced
All Levels

About this course

The Data Engineer Foundations Course is a comprehensive, step-by-step guide to mastering the core skills, concepts, and tools used in modern data engineering. Whether you’re a beginner entering the field or an aspiring professional looking to strengthen your expertise, this course is designed to give you both theoretical knowledge and hands-on experience.We begin by exploring the role of a data engineer in today’s data-driven organizations and understanding the modern data ecosystem. You’ll work with relational databases and NoSQL databases, learning how to store and retrieve data efficiently.

We’ll then dive into data ingestion methods and build ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines, giving you a solid grasp of how data moves through systems.You’ll explore batch processing frameworks and real-time streaming tools, and gain exposure to cloud platforms such as AWS, Azure, and Google Cloud. We’ll cover workflow orchestration with tools like Apache Airflow, along with alternatives for automation. The course also emphasizes data quality, data governance, and data security, ensuring you learn industry best practices.Through guided hands-on labs, you’ll ingest, transform, and load data, orchestrate automated workflows, and apply security controls — all using real-world tools.By the end, you’ll have the knowledge, skills, and confidence to design, build, and maintain scalable, secure, and high-quality data systems, ready to launch or advance your career in data engineering.

Skills you'll gain

Data ScienceEnglish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$97.99

Save $97.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

You May Also Like

Explore more courses similar to this one

Machine Learning & AI Foundations Course
Development
992 left

Machine Learning & AI Foundations Course

Udemy Instructor

"This course contains the use of artificial intelligence in creating scripts, visuals, audio, and supporting content"Are you ready to explore the world of Artificial Intelligence (AI) and Machine Learning (ML)? This beginner-friendly course will give you the foundational knowledge and practical skills to understand, apply, and evaluate AI systems with confidence.In this course, you’ll start by learning what AI is, its history and evolution, and how it is transforming industries such as healthcare, finance, education, and transportation. You’ll gain a solid understanding of core concepts like supervised learning, unsupervised learning, and reinforcement learning, along with the mathematics that make AI work—linear algebra, probability, and optimization.Next, you’ll dive into machine learning models and learn how to build and evaluate them using Python libraries such as NumPy, Pandas, and Scikit-learn. You’ll also explore the basics of deep learning, including neural networks, CNNs, and RNNs, and discover how they power applications like image recognition and natural language processing.Beyond the technical side, this course emphasizes the importance of ethical AI. You’ll learn about bias, fairness, accountability, privacy, and security, ensuring that you can think critically about the impact of AI in society.By the end of this course, you’ll have the confidence to understand and explain AI concepts, build simple ML models, and take the next step toward becoming a data scientist, ML engineer, or AI professional.Take your first step into the exciting world of Machine Learning and Artificial Intelligence today!

0.02.5KSelf-paced
FREE$101.99
Enroll
Certified Data Analyst Foundations Course
Development
995 left

Certified Data Analyst Foundations Course

Udemy Instructor

Are you ready to launch your journey into the world of data analysis? This comprehensive beginner-level course is designed to equip you with the fundamental skills and hands-on experience needed to succeed as a Data Analyst or Data Engineer in today’s data-driven world.Through a step-by-step learning path, you’ll explore everything from the basics of data types and sources to the more practical application of cleaning, analyzing, and visualizing data. You’ll start by understanding what a Data Analyst does and how their role supports business decision-making. Then, you'll dive into the full data analysis process, learning how to work with different data formats, perform data collection, and handle common data quality issues.You’ll work with popular tools such as Microsoft Excel, SQL, Python (with Pandas), and visualization tools like Power BI and Tableau. These tools are widely used in industry and will allow you to perform real-world tasks such as data cleaning, data transformation, database querying, and interactive dashboard creation.In the Excel section, you’ll master essential spreadsheet techniques including formulas, pivot tables, sorting/filtering, and conditional formatting. You'll then move to SQL, where you’ll learn how to write basic to intermediate queries, perform JOINs, filtering, aggregations, and manipulate data with INSERT, UPDATE, and DELETE statements.Next, you’ll explore data visualization and exploratory data analysis (EDA) using both Excel and business intelligence platforms. You’ll learn how to choose the right chart, apply data storytelling techniques, and build interactive dashboards with slicers, filters, and drilldowns. These skills are crucial for presenting insights clearly and effectively to stakeholders.The course also introduces you to Python for data analysis, focusing on the Pandas library, along with basic visualizations using Matplotlib and Seaborn. These tools are essential for those looking to transition into more technical roles or enhance their analytical capabilities.Toward the end of the course, you’ll focus on communicating insights through well-structured presentations, storytelling with data, and delivering findings to non-technical stakeholders. These soft skills are just as important as technical ones in a successful data career.Whether you're a student, career switcher, or working professional looking to add data analysis to your skill set, this course is structured to help you succeed—even with no prior experience.By the end of this course, you will:Understand the role of a data analystUse Excel, SQL, and Python to clean and analyze dataBuild dashboards using Power BI and TableauTell compelling data stories that drive actionEnroll today and take the first step toward becoming a job-ready data professional with the tools, techniques, and confidence to work with data in any industry.

0.02.0KSelf-paced
FREE$101.99
Enroll
Integration and Deployment of GenAI Models
Development
980 left

Integration and Deployment of GenAI Models

Skool of AI

The gap between creating GenAI models and deploying them into production is where most AI initiatives fail. While countless courses teach you how to build models, few prepare you for the critical engineering challenges that determine whether your AI will reach users or remain trapped in development. This comprehensive course bridges that gap, transforming you from an AI enthusiast into a complete GenAI engineer.Designed for developers and engineers ready to move beyond theory, this hands-on course guides you through the entire deployment lifecycle of generative AI systems. You'll build real-world applications using today's most powerful AI platforms while mastering the infrastructure that makes them reliable, scalable, and production-ready.Through practical, project-based learning, you'll:Master API Integration - Build seamless connections between GenAI models and applications using FastAPI, enabling powerful AI features with clean, efficient interfacesContainerize AI Systems - Package complete GenAI applications with Docker to ensure consistent performance across any environmentOrchestrate with Kubernetes - Scale your GenAI deployments effectively, managing resources and ensuring reliability even under demanding workloadsDeploy Production Applications - Create and deploy four complete GenAI applications including a text summarizer, AI chatbot, audio transcription service, and an intelligent PDF chat systemWork with Leading AI Platforms - Gain hands-on experience with Cohere, Amazon Bedrock, AssemblyAI, and Google Gemini, building valuable skills with industry-standard toolsEach section builds toward complete, working applications that demonstrate real-world deployment patterns. You'll create deployable solutions for text summarization, conversational AI, audio processing, and document intelligence - covering the most in-demand GenAI capabilities in today's market.By course completion, you'll have both the technical knowledge and portfolio projects to confidently implement GenAI solutions in production environments, skillsets that command premium compensation in today's AI-driven job market.Don't let your AI models remain theoretical exercises. Enroll now and master the engineering skills that transform promising models into production-ready systems delivering real value. The difference between AI enthusiasts and AI engineers is deployment — and this course will put you firmly in the latter category.

4.112.0KSelf-paced
FREE$94.99
Enroll