Cloud Computing Courses

The AI and Machine Learning Program by TripleTen is a comprehensive 9-month online course designed for diverse learners entering the tech field. Participants will explore Python, neural networks, and advanced AI topics using industry-standard tools like TensorFlow and PyTorch. Through project-based learning, students will complete 15 portfolio projects, developing both technical and soft skills crucial for career advancement. The program includes career support services such as resume building and interview preparation. Before You Learn / Who This Course Is For Open to diverse backgrounds and skill levels Ideal for aspiring tech professionals No prerequisites required What to Expect Online, project-based learning format Hands-on practice with tools like TensorFlow, PyTorch Comprehensive career support and coaching What You'll Achieve Portfolio with 15 projects Proficiency in AI and machine learning tools Career-ready skills for tech roles

Jedha's Data Manager course offers a comprehensive 112-hour program to master data governance and management. Available in a 3-week bootcamp or self-paced over 8 weeks, this course equips learners with essential skills to lead a data team effectively. Through practical sessions, participants will gain hands-on experience in data management best practices. Before You Learn / Who This Course Is For Ideal for aspiring data managers and team leaders Suitable for professionals with basic data knowledge No prerequisites required for enrollment What to Expect Self-paced learning over 8 weeks or 3-week bootcamp Practical exercises in data governance and management Focus on leading data teams effectively What You'll Achieve Mastery of data governance and management practices Ability to lead and manage a data team

This 24-hour in-class Kubernetes course provides an in-depth understanding of Kubernetes architecture and its application in modern enterprise environments. Designed for professionals with knowledge of container technologies, YAML, and Linux basics, the course covers deployment configuration, security, and troubleshooting. Through extensive lab sessions, learners gain practical experience essential for roles like Kubernetes Engineer and DevOps Engineer. Before You Learn / Who This Course Is For Professionals with container, YAML, and Linux knowledge Ideal for Kubernetes, DevOps, and SRE roles Designed for back-end developers seeking Kubernetes expertise What to Expect 24 hours of in-class instruction 8+ hours of lab-based, hands-on practice Covers architecture, deployment, and security What You'll Achieve Practical skills for Kubernetes deployment and troubleshooting Preparedness for roles in Kubernetes and DevOps

Code for All's intensive CyberSecurity bootcamp, in partnership with Code Fellows, offers a comprehensive online learning experience. Designed to equip students with essential CyberSecurity skills, the course covers topics such as data encryption, network security, and incident response. Delivered through a hands-on, project-based approach, participants will also prepare for the CompTIA Security+ certification, gaining practical skills in ethical hacking and threat modeling. Before You Learn / Who This Course Is For Ideal for aspiring CyberSecurity professionals Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Live, project-based online instruction Hands-on practice in ethical hacking and vulnerability scanning Comprehensive coverage of Security+ domains What You'll Achieve Preparation for CompTIA Security+ certification Skills in data encryption and cloud security Applicable CyberSecurity expertise for career advancement

4Geeks Academy offers an innovative AI and Machine Learning Engineer program, designed to equip students with essential skills and tools. Taught by renowned Ph.D. professionals, this course prepares learners for a flourishing career in AI. Delivered online, it combines theoretical knowledge with practical applications, providing a comprehensive learning experience. Before You Learn / Who This Course Is For Ideal for aspiring AI engineers and data scientists Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Online learning with expert Ph.D. instructors Focus on hands-on, project-based activities Exposure to cutting-edge AI tools and techniques What You'll Achieve Skills to thrive as an AI and Machine Learning Engineer Understanding of key AI tools and methodologies

This 15-week program offers a comprehensive exploration of essential IT and development skills through five key modules. Delivered online, the course covers Computer Science, Networking, Programming Fundamentals, Databases, and more. Students engage in hands-on projects to master Infrastructure as a Service, CICD, and other critical tools, ensuring a practical learning experience. Before You Learn / Who This Course Is For Designed for aspiring IT professionals Ideal for those seeking foundational tech skills No prerequisites required What to Expect Online, self-paced learning with hands-on projects Covers Computer Science, Networking, Programming, and more Focus on Infrastructure as a Service, CICD, and Containerization What You'll Achieve Gain practical skills in IT and development Prepare for roles in tech infrastructure and management

Tech Talent & Strategy's Data Science program is an online, project-based bootcamp designed to teach both beginner and intermediate levels of data science. Students engage with a comprehensive curriculum covering R, Python, Hadoop, Spark, and more, through hands-on projects and expert-led instruction. This program prepares learners to pursue careers in data analytics, business intelligence, and business analytics, with a focus on real-world applications and updated industry practices. Before You Learn / Who This Course Is For Beginners and intermediate learners interested in data science Ideal for aspiring data analysts and business intelligence professionals No prerequisites; enthusiasm for learning required What to Expect Online, project-based learning format Hands-on practice with R, Python, Hadoop, Spark Real-world data projects and portfolio building What You'll Achieve Comprehensive data science skills with R, Python, and more Experience with real-world data analytics challenges

The microcredential courses provide focused, short-term online training in various tech disciplines. Ideal for those looking to upskill, the courses cover topics like AI interaction, cybersecurity, data analysis, programming, and more. Delivered through project-based learning, these courses ensure practical skill development in a flexible format. Before You Learn / Who This Course Is For Open to all skill levels Ideal for career changers and upskillers No prerequisites required What to Expect Self-paced online modules Project-based learning for practical skills Access to diverse tech topics What You'll Achieve Earn a microcredential upon completion Gain practical skills in tech disciplines

Cognixia's Cloud Computing course explores the essential aspects of cloud platforms, focusing on their integration into IT infrastructure. Delivered online, this self-paced course covers the flexibility, scalability, and cost-effectiveness of cloud solutions. Participants will engage in project-based learning, gaining insights into real-world applications and industry impact. Before You Learn / Who This Course Is For Suitable for IT professionals and tech enthusiasts No prerequisites required Ideal for those seeking cloud certification What to Expect Self-paced online format with project-based learning Explore real-world cloud applications Emphasis on flexibility and scalability of cloud solutions What You'll Achieve Gain insights into cloud infrastructure benefits Enhance career opportunities in IT and tech fields

This 13-week online course is designed to prepare individuals for a career as a data scientist. Participants will learn to process, clean, and analyze data using visualization tools and statistical methods. The curriculum focuses on creating predictive models through machine learning algorithms and deep learning techniques, providing hands-on, project-based learning experiences. Before You Learn / Who This Course Is For Aspiring data scientists and analysts No prerequisites required Ideal for those interested in machine learning What to Expect Online, self-paced learning over 13 weeks Hands-on projects and exercises Focus on machine learning and data visualization What You'll Achieve Proficiency in data processing and analysis Ability to create predictive AI models