Cloud Computing Courses

This comprehensive course equips students with the skills needed to become full-stack developers using Ruby. Participants will learn to build modern web applications, mastering both client-side and server-side technologies. The course emphasizes Ruby and the Rails framework, offering hands-on experience with tools like HTML, CSS, JavaScript, and database integration. Delivered online, this self-paced course involves practical projects and real-world applications. Before You Learn / Who This Course Is For Aimed at aspiring full-stack developers Suitable for both technical and non-technical backgrounds No prerequisites; a curiosity for coding is ideal What to Expect Self-paced online learning Hands-on projects with Ruby and Rails Version control with Git and GitHub What You'll Achieve Certificate of completion Proficiency in full-stack development using Ruby Skills applicable to web application development roles

CodeAcademy Berlin's 20-week course equips students with robust Python and statistics foundations, emphasizing SQL and cloud technologies. Delivered online, the program includes hands-on projects using tools like Tableau, Pandas, and Numpy. Students engage in real-world projects involving machine learning, data visualization, and cloud computing, enhancing skills in APIs, web scraping, and more. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and scientists No prerequisites; basic computer skills recommended Suitable for career switchers and tech enthusiasts What to Expect 20-week online, project-based learning Hands-on experience with Python, SQL, and cloud tools Engagement in real-world data projects and presentations What You'll Achieve Comprehensive skills in data analysis and visualization Proficiency in machine learning techniques Experience with cloud platforms like AWS and GCP

Skillslash's Cloud & DevOps Bootcamp offers a comprehensive curriculum focusing on essential cloud technologies and DevOps practices. Delivered online, this self-paced program covers Python, NumPy, virtualization, resource management, AWS, Google Cloud Platform, Azure, and cloud security. With project-based learning, students gain practical experience to enhance their technical skills in cloud computing and DevOps. Before You Learn / Who This Course Is For Ideal for aspiring cloud engineers and DevOps professionals Technical background recommended for optimal understanding No prior cloud experience required What to Expect Self-paced online format for flexible learning Hands-on projects with real-world cloud tools Focus on AWS, Azure, and Google Cloud Platform What You'll Achieve Comprehensive cloud and DevOps skill set Practical experience with major cloud platforms

This comprehensive Data Science bootcamp offers a deep dive into essential tools and techniques such as R, Python, SQL, and machine learning. Delivered through a mix of online and project-based learning, participants will engage in practical exercises to master skills in natural language processing, cloud computing, and more. The course is designed to equip learners with the proficiency needed for a data-driven career. Before You Learn / Who This Course Is For Designed for aspiring data scientists Ideal for technical and analytical roles No prerequisites required What to Expect Project-based learning with online modules Hands-on practice with R, Python, and SQL Explore machine learning and deep learning What You'll Achieve Gain proficiency in data science tools Develop skills in cloud computing and NLP

The LSU DevOps Bootcamp is a part-time, online program focused on developing key skills in automation, infrastructure, and Python. Students will graduate with high-level technical knowledge in cloud computing and the expertise required to pursue AWS certifications. The curriculum includes Linux, AWS Academy Cloud Architecture, and software development lifecycles, delivered through hands-on projects and real-world applications. Before You Learn / Who This Course Is For Ideal for aspiring DevOps professionals and IT specialists Suitable for technical backgrounds; familiarity with coding is beneficial Perfect for those pursuing AWS certification What to Expect Part-time, online format with flexible scheduling Hands-on projects using real-world DevOps tools Focus on AWS, Linux, and software development lifecycles What You'll Achieve Expertise in automation and cloud computing Preparation for AWS certifications High-level technical skills for DevOps roles

Arkansas Coding Academy offers a rigorous web development program designed for career changers and tech enthusiasts. The course provides 6 to 9 hours of expert-led virtual instruction weekly, with optional in-person sessions on Saturdays. Participants gain hands-on experience in web development, suitable for beginners and advanced learners alike, and can engage in a comprehensive career development program. Before You Learn / Who This Course Is For Open to all education levels, GED to Master's holders Ideal for career changers and tech enthusiasts No prior programming experience required What to Expect 6-9 hours of virtual instruction weekly Hands-on web development practice and projects Optional in-person sessions on Saturdays What You'll Achieve Access to ArCA’s Career Development program Skills for entry-level web development roles

Zindua School's part-time Data Engineering Specialisation is a 12-week online course designed for analysts and backend developers. Participants will learn to design scalable data infrastructure, architect ETL/ELT pipelines with Apache Airflow, and manage data warehouses using BigQuery and Redshift. Through hands-on labs and a capstone project, students will gain practical experience in processing real-world data and implementing DevOps-style monitoring for reliable pipelines. Before You Learn / Who This Course Is For Designed for analysts and backend developers Ideal for those pursuing data engineering roles No specific prerequisites required What to Expect Online, part-time format over 12 weeks Hands-on labs and a capstone project Focus on ETL/ELT pipelines and data warehouses What You'll Achieve Practical skills in scalable data infrastructure Experience with Apache Airflow, BigQuery, and Redshift Preparedness for data engineer roles

The CodeFish DevOps program is a 24-week intensive online course designed for individuals without an IT background. It provides comprehensive training in key DevOps concepts, including cloud computing, Linux, and scripting. The curriculum prepares students for AWS and Terraform certification exams through project-based learning and expert instruction. Before You Learn / Who This Course Is For Ideal for non-IT individuals seeking DevOps roles No prior IT experience required Aspiring entry-level DevOps engineers What to Expect 24-week online intensive course Project-based learning with expert guidance Covers cloud computing, Linux, scripting, and more What You'll Achieve Preparation for AWS and Terraform certifications Gain foundational DevOps skills Career-ready for entry-level DevOps positions

Zindua's DevOps Engineering Specialisation is a part-time, 12-week online course designed for experienced software developers and systems administrators. The program focuses on building, automating, and monitoring production-grade infrastructure using Docker, Kubernetes, Terraform, and GitHub Actions. Delivered through live mentor-led sessions, hands-on labs, and a capstone project, learners will set up CI/CD pipelines and implement Infrastructure as Code on AWS and Azure platforms. Before You Learn / Who This Course Is For Designed for experienced developers and systems administrators Ideal for those managing deployment pipelines No prerequisites beyond professional development experience What to Expect Live mentor-led sessions and hands-on labs Capstone project to demonstrate skills Tools include Docker, Kubernetes, and Terraform What You'll Achieve Proficiency in CI/CD pipeline setup Skills in Infrastructure as Code with AWS and Azure

Tech Hut Academy's Data Science & AI Bootcamp is an intensive, self-paced online course designed to equip learners with essential skills in data science and artificial intelligence. The curriculum covers SQL, Python, Git, Pandas, data visualization, data analytics, Power BI, natural language processing, machine learning, cloud computing, and generative AI. Through project-based learning, participants gain hands-on experience, enhancing their technical proficiency and career readiness. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required; open to all skill levels What to Expect Self-paced online format for flexible learning Hands-on projects with real-world data applications Comprehensive coverage of AI and data science tools What You'll Achieve Earn a certificate of completion from Tech Hut Academy Master skills in Python, SQL, and machine learning Enhance career prospects in data-driven roles