Cloud Computing Courses

Ironhack's DevOps & Cloud Computing course is a comprehensive online program focusing on cloud fundamentals, distributed systems, and security. Designed for flexibility, this course enables learners to master essential DevOps tools and practices through project-based learning. Participants engage in hands-on activities to build practical skills in cloud computing and system monitoring. Before You Learn / Who This Course Is For Ideal for aspiring cloud engineers and DevOps professionals Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Self-paced online learning with project-based assignments Covers cloud fundamentals and distributed systems Focus on DevOps practices and security protocols What You'll Achieve Gain skills in cloud computing and system monitoring Develop practical DevOps and security expertise

The Full-Stack Web Developer course at Bitlabs is designed for students without an IT background who aspire to enter the tech industry. Offered online, this course covers front-end and back-end technologies, web design, and DevOps, alongside essential soft skills like design thinking and project management. With a project-based approach, learners gain real-world experience and career coaching, ensuring they are ready for professional opportunities. Before You Learn / Who This Course Is For Open to non-technical individuals seeking career change Ideal for aspiring web developers No IT prerequisites required What to Expect Online, project-based learning with industry partners Covers front-end, back-end, and DevOps Includes career coaching and portfolio enhancement What You'll Achieve Comprehensive web development skills Practical experience through real-world projects Preparedness for tech industry positions

Flatiron School's AI and Data Science Bootcamp is an immersive, online program that equips students with essential skills in AI and data science. Covering Python, cloud computing, and machine learning, the course is designed for those aiming to enter tech roles like AI Engineer and Data Scientist. Through project-based learning, participants gain hands-on experience with neural networks and natural language processing, preparing them for dynamic tech careers. Before You Learn / Who This Course Is For Aimed at aspiring AI Engineers and Data Scientists Ideal for those interested in data roles No specific prerequisites required What to Expect Online, immersive bootcamp with project-based learning Covers Python, cloud computing, and machine learning Hands-on experience with neural networks What You'll Achieve Prepare for roles like Data Scientist and BI Analyst Gain practical skills in generative AI and NLP

Flatiron School's AI Engineering Immersive is an 18-month work-integrated program designed for individuals without prior development experience. Participants receive a foundation in Software Engineering and AI, alongside a paid apprenticeship starting in the fifth month. This blend of coursework and real-world experience equips learners with practical skills and a professional portfolio, making the program cost-effective by offsetting tuition with apprenticeship earnings. Before You Learn / Who This Course Is For No development experience required Ideal for career switchers and beginners Suited for individuals seeking hands-on learning What to Expect 18-month program with structured coursework 20 hours/week practical work experience Paid apprenticeship starting in month 5 What You'll Achieve Verified production experience and professional portfolio Skills in Software Engineering and AI Potential to offset tuition costs with earnings

The Accelerated AI Engineering Immersive is a 14-month program for experienced engineers seeking credibility in AI. Combining coursework with a paid apprenticeship, participants engage in 20 hours of structured learning and 20 hours of professional work weekly. This dual approach ensures graduates gain comprehensive AI and data science foundations, verified production experience, and a professional portfolio, potentially offsetting tuition costs entirely. Before You Learn / Who This Course Is For Experienced engineers with a production stack Ideal for those building AI credibility Requires existing engineering background What to Expect 14-month immersive program with dual learning 20 hours weekly in AI coursework 20 hours weekly in paid apprenticeship What You'll Achieve Credential with verified production experience Professional AI and data science portfolio Potential earnings to offset tuition costs

WBS CODING SCHOOL is an official AWS Partner and our AWS Cloud Computing course is designed to take you from beginner to job-ready cloud professional in 23 weeks. Whether you are switching careers, levelling up your existing tech skills or taking your very first step into the industry, this course gives you the AWS expertise, hands-on experience and industry-recognised certifications to compete in one of the world's most in-demand job markets. Before You Learn / Who This Course Is For Ideal for career switchers or skill enhancers Eligible students in Germany can fund the course through a Bildungsgutschein, covering the full cost of tuition. Flexible payment plans are also available for those self-funding. The course is delivered in English and a minimum B2 language proficiency is required to enrol. What to Expect The course is 100% online and full-time, running Monday to Friday from 9:00 to 17:30. Over 23 weeks, you will cover AWS cloud foundations, Linux, networking, security, databases, cloud architecture, systems operations, serverless computing, containers, monitoring, tooling automation, automated deployments, career development and AWS Machine Learning and AI. Learning is structured around instructor-led presentations, independent AWS labs and knowledge check quizzes — a clear and proven format that builds both real technical understanding and practical confidence. Real-world projects are embedded into the curriculum throughout, so you graduate with a hands-on portfolio that shows employers exactly what you are capable of doing. What You'll Achieve Certification is central to the program. Two industry-recognised credentials are included at no extra cost: the Linux Essentials certification, completed during the course, and the AWS Certified Cloud Practitioner, completed in your final weeks. A PCEP Python certification voucher is available post-graduation upon completing a dedicated LMS track and final quiz. Career services team is with you for 12 months after graduation, helping you develop your career strategy, optimise your applications and connect with the hiring partner network.

This comprehensive AWS training program spans 12 weeks, combining 240 hours of in-class instruction with hands-on projects. It covers AWS fundamentals and prepares students for the AWS Certified Cloud Practitioner and Solutions Architect exams. Students gain skills in building secure applications on AWS, with support from mentoring and career management services. Before You Learn / Who This Course Is For Open to aspiring cloud professionals Ideal for future AWS Solutions Architects, Cloud Engineers No prerequisites; coding experience not required What to Expect 12-week program with live instruction and mentoring Hands-on projects and AWS exam preparation Career management support until first hiring What You'll Achieve Preparation for AWS Cloud Practitioner and Solutions Architect exams Skills in deploying secure applications on AWS

DigitalCrafts offers an in-depth exploration of Artificial Intelligence and Machine Learning technologies through a comprehensive online program. This course covers AI concepts, machine learning techniques, and their applications in business and data science. Delivered through interactive, hands-on sessions, learners will gain practical experience with AI in the cloud and modern AI applications. Before You Learn / Who This Course Is For Open to both technical and non-technical learners Ideal for those interested in AI and ML technologies No prerequisites required for enrollment What to Expect Self-paced online format with interactive sessions Hands-on projects using AI and ML tools Exploration of AI in business and data science What You'll Achieve Comprehensive understanding of AI and ML concepts Practical skills in AI applications and tools

Jedha's Data Governance and Data Management course offers a comprehensive 112-hour curriculum designed to equip learners with best practices in data leadership. This program is available as a three-week bootcamp or a self-paced option over eight weeks, catering to various learning preferences. Participants will gain hands-on experience and project-based learning to develop essential skills for leading data teams effectively. Before You Learn / Who This Course Is For Designed for aspiring data leaders Ideal for professionals aiming to manage data teams No prerequisites required What to Expect Choose between bootcamp or self-paced learning Hands-on projects and practical exercises Focus on data governance best practices What You'll Achieve Master data management skills Lead data teams with confidence

Jedha's Data Scientist Bootcamp offers an extensive 450-hour curriculum designed to develop advanced skills in Data Science, Data Engineering, and Machine Learning. Available as a three-month bootcamp or as a self-paced course over 30 weeks, this program provides a flexible learning experience. Through comprehensive, project-based learning, students gain practical expertise essential for a career transition into data science roles. Before You Learn / Who This Course Is For Open to aspiring Data Scientists and Engineers Ideal for career changers in tech fields No prerequisites required What to Expect Self-paced or three-month bootcamp options Project-based learning with real-world applications Focus on Data Science, Engineering, and Machine Learning What You'll Achieve Gain advanced Data Science and Engineering skills Prepare for career transition into data roles