Live, mentor-led career programs
Explore flagship programs across AI, data engineering, cloud, cybersecurity, software and business AI. Each pathway includes live learning, projects, capstone work, career preparation and admissions guidance.
Flagship programs
Every program can be edited in Payload with overview, curriculum, tools, outcomes, SEO and related courses.
AIBecome the engineer who can take AI from data and models to GenAI applications, agents and production operations. Build and deploy production-grade AI systems spanning ML, deep learning, GenAI, RAG, agents and MLOps.
BAUse AI, automation, analytics and digital tools to improve productivity, decision-making, customer engagement and operational efficiency without requiring a software engineering background.
CEDesign, deploy, secure, automate and manage cloud infrastructure using AWS, Microsoft Azure, Google Cloud, DevOps practices, containers, infrastructure as code and monitoring tools.
CSProtect systems, networks, cloud environments, applications and enterprise data while building practical capability in ethical hacking, SOC operations and incident response.
DEDesign, build and maintain scalable data pipelines, cloud data platforms, data lakes, warehouses, ETL/ELT workflows, batch processing and real-time analytics infrastructure.
FSBuild modern, scalable, secure and production-ready web applications using frontend, backend, databases, APIs, cloud deployment and DevOps practices.
How to compare
A learner should understand fit, effort, outcomes and project evidence before joining.
Compare the job families and role outcomes each pathway supports.
Review modules, tools, capstones, weekly commitment and assessment plan.
Understand live sessions, projects, mentor support and flexible batch options.
Check the portfolio, resume and interview support connected to each program.
A learner should understand fit, effort, outcomes and project evidence before joining.
