Master the tools of modern analytics — from Excel and Tableau to SQL, Python, and AI. Build real-world projects that transform data into decisions and prepare for the future of intelligent business.
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Our unique LMS transforms self-paced learning into an interactive, supported experience. Watch lectures, practice coding in real-time, test your skills with live quizzes, track your progress from start to finish, and get help directly inside the platform.
Learn from expert instructors through structured video lessons.
Practice what you learn instantly with embedded coding environments.
Reinforce knowledge with interactive checkpoints and assessments.
Visual dashboards help you stay on track and see your growth.
No more guesswork—follow a proven path from beginner to job-ready.
Access AI support, learning forums, and community mentorship.
Whether you’re starting your first data job, transitioning into AI, or upskilling for the cloud, our curated learning tracks provide a structured path to career success. Each track combines expert-led instruction, hands-on projects, and smart progress tracking—all included in one subscription.
Master the tools of modern analytics — from Excel and Tableau to SQL, Python, and AI. Build real-world projects that transform data into decisions and prepare for the future of intelligent business.
Learn to build scalable data pipelines and manage cloud-based data systems using tools like SQL, Python, Spark, AWS, and dbt for modern data workflows.
This track concludes with practical skills in cloud computing, leading to end-to-end projects that prepare you to deploy data science solutions in a professional environment.
This track builds your MLOps foundation, preparing you to deploy, scale, and manage AI models. You’ll gain expertise in MLOps and LLMOps, mastering the full lifecycle of Al models from training to deployment and monitoring.
Master the cloud stack (AWS, Azure, GCP) to build, automate, and manage cloud-native applications and infrastructure.
Master the end-to-end MLOps lifecycle and gain hands-on skills with tools like Docker, Git, and MLflow to build scalable, automated, and production-ready ML solutions.
This track equips you with hands-on DevOps skills in Linux, containers, cloud, CI/CD, monitoring, Kubernetes, GitOps, and DevSecOps to build, test, and deploy software at scale.
Boost your tech and data skills quickly with focused, expert-led courses designed to fit into your schedule and advance your career.
BI Specialist at AstraZeneca
Data Engineer @ Nielson (Precima)
Senior Data Engineer @ JLL
Data Scientist @ Achievers
Song (Ben) Chang @ ApoSys Technologies Inc.
Data Scientist @ Chapeau! AI Agency
Senior Data Scientist @ Sanofi
Senior Big Data Engineer @ Bell
BI Analyst @ Air Canada
Data Engineer @ Clutch
Data Scientist @ Purolator Inc.
Want to upskill/reskill your teams? WeCloudData can help you build customized data and AI learning curriculums that fit your digital transformation roadmap. We have helped many large enterprises upskill their existing data teams. Contact us today to inquire about our corporate training program.
WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.
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