Correlation One's workforce development practice for the AI era — programs with USAID, the U.S. Department of State, and government partners, priced on verified jobs and wages instead of people trained.
U.S. Department of Labor Registered Apprenticeships in data, cybersecurity, and AI roles.
Develop the technical skills that Fortune 500 enterprises and the public sector want.
Access highly skilled professionals trained for real-world enterprise needs — at no cost.
Access pre-trained candidates at zero cost.
Video Resources
Explore our curated video library and playlists — from quick tips to deep dives, everything you need to level up is right here.
Master Excel from basics to advanced data analysis. Cover formulas, pivot tables, dashboards, and data cleaning with hands-on lessons for analysts.
Build professional dashboards in Tableau and Looker. Master layout design, KPIs, filters, drill-downs, and interactive visuals for data reporting.
Query and analyze relational databases with SQL. Cover SELECT, JOINs, CTEs, aggregate functions, and advanced techniques for data-driven decisions.
Start Python for data analysis from scratch. Learn variables, data structures, functions, and control flow through beginner-friendly, practical lessons.
Use NumPy and Pandas for data analysis. Cover arrays, DataFrames, data cleaning, aggregation, and efficient numerical computing in Python.
Understand machine learning foundations for data science. Explore supervised and unsupervised learning, regression, classification, and clustering concepts.
Build a solid cybersecurity foundation. Cover the CIA triad, IT fundamentals, threat actors, attack surfaces, risk management, and core security principles.
Understand how cyber attacks are executed. Explore threat actors, attack vectors, indicators of compromise, and the MITRE ATT&CK framework in depth.
Explore how organizations defend against cyber threats. Cover security controls, IAM, network segmentation, hardening, and proactive mitigation strategies.
Design secure enterprise and cloud infrastructure. Cover cybersecurity architecture models, firewalls, VPNs, SD-WAN, SASE, and network security principles.
Protect data with encryption, backups, and resilience strategies. Cover DLP, hashing, tokenization, RAID, BCP, and disaster recovery planning.
Manage security operations effectively. Cover system hardening, MDM, asset management, secure baselines, monitoring, and mobile device security controls.
Identify and remediate security vulnerabilities systematically. Cover CVE frameworks, CVSS scoring, vulnerability scanning tools, and remediation workflows.
Control access across enterprise systems with IAM. Cover authentication, SSO, RBAC, OAuth, SAML, and endpoint security tools like EDR and DLP.
Respond to cybersecurity incidents effectively. Cover CSIRT roles, IR lifecycle, digital forensics, chain of custody, log analysis, and compliance frameworks.
Manage cyber risk with automation, compliance frameworks, and orchestration. Cover SOAR, scripting, risk governance, and emerging cybersecurity challenges.
Understand data center fundamentals from hardware to infrastructure. Cover computer components, networking basics, facility types, and site selection criteria.
Keep data centers safe from fires and electrical hazards. Cover VESDA detection, suppression systems, LOTO procedures, grounding, and OSHA compliance.
Troubleshoot data center networks using the OSI model. Cover IP addressing, system monitoring, cabling standards, and infrastructure maintenance techniques.
Maintain data center uptime with power and cooling systems. Cover UPS, PDUs, CRAC units, airflow management, and environmental redundancy strategies.
Manage hazardous materials and physical security in data centers. Cover SDS documentation, battery handling, access control, RBAC, and surveillance systems.
Operate modern data centers with confidence. Cover facility layout, preventative maintenance, compliance audits, cloud integration, and operational best practices.
Grasp IT fundamentals and how computers work. Cover hardware components, software systems, network basics, and the role of IT professionals in organizations.
Understand operating systems and how they manage hardware and software. Compare Windows, Linux, and macOS features for IT support and system administration.
Resolve computer and network issues systematically. Cover structured troubleshooting techniques, diagnostic methods, and real-world IT case studies.
Understand how computer networks function. Cover routers, switches, protocols, IP addressing, and advanced networking concepts for IT support roles.
Manage mobile devices, virtual machines, and backup systems in IT. Cover smartphones, hypervisors, virtualization, and data recovery for enterprise environments.
Protect devices and business systems from cyber threats. Cover personal cybersecurity practices, enterprise security controls, and common attack prevention strategies.
Understand cloud computing and IT operations. Cover IaaS, PaaS, SaaS, ticketing systems, and how IT professionals manage cloud infrastructure and support workflows.
Build operations leadership skills from the ground up. Understand team management, process optimization, decision-making, and performance monitoring in modern organizations.
Strengthen leadership through communication and problem solving. Learn active listening, decision-making frameworks, and strategies for guiding teams effectively.
Elevate leadership with advanced communication and decision-making strategies. Master complex conversations, root-cause analysis, and high-stakes operational thinking.
Understand software testing from the ground up. Cover QA fundamentals, SDLC phases, testing levels, Agile vs Waterfall methodologies, and tester responsibilities.
Execute manual and automated tests with confidence. Cover test case design, exploratory testing, functional validation, and automation fundamentals for QA roles.
Compare static and dynamic testing approaches. Cover code reviews, walkthroughs, unit testing, integration testing, system testing, and acceptance criteria validation.
Manage testing processes and track defects systematically. Cover test plans, defect reports, testing documentation, and QA communication with development teams.
Validate backend data with SQL and database testing. Cover SELECT queries, data integrity checks, stored procedures, and schema validation for QA professionals.
Build programming skills essential for software testing. Cover Java fundamentals, variables, control flow, functions, and modular programming for automation testers.
Test REST APIs using Postman and real-world scenarios. Cover HTTP methods, request validation, response codes, authentication, and backend API testing techniques.
Automate tests with TestNG and Selenium in Java. Cover annotations, test grouping, parallel execution, parameterization, and CI/CD integration for QA engineers.
Automate web applications using Selenium WebDriver. Cover browser interactions, element locators, XPath, CSS selectors, and integration with TestNG for QA teams.
Master advanced testing disciplines. Cover performance testing with JMeter, security testing fundamentals, mobile testing strategies, and scalability validation techniques.
White Paper
Generative AI across the value chain: Applications by Fortune 500 enterprises
A whitepaper exploring how Fortune 500 enterprises are applying generative AI across the value chain to drive strong ROI, with practical insights on where AI delivers the most impact — from strategy to day-to-day operations.
Download White Paper →White Paper
Employers need innovative pathways to effectively bridge the skills gap and build talent pipelines that are adaptable, diverse, and equipped with the latest digital skills. Explore how digital apprenticeships represent a key pathway to growing the workforce of the future.
Download White Paper →Case Study
How a Fortune 100 beverage brand upskilled 400 employees across 12 countries — and uncovered $50M in revenue opportunities and $550K in cost savings through AI capstone projects.
View the case study →White Paper
A whitepaper that frames data illiteracy as a hidden but critical threat to organizational performance, making the case for why building a data-literate workforce is no longer optional — it's essential to staying competitive in the AI economy.
Download White Paper →Case Study
A case study on how Correlation One partnered with Amazon's Career Choice program to deliver customized technical training across 10 tracks — from data analytics to cybersecurity — helping 2,500+ hourly employees transition into higher-skilled roles within Amazon and its partner ecosystem, with a 90% program completion rate.
View the case study →Case Study
A case study on how SoftBank partnered with Correlation One to build an AI talent pipeline across Latin America through the DS4A program — attracting 2,350 applicants from 8 countries, achieving a 97% retention rate, and generating an estimated $24M in annual cost savings for its portfolio companies.
View the case study →Podcast
A Data Humanized podcast episode featuring Fernando Schwartz, VP of Data Science & ML Engineering at ADP, on how the company develops and integrates internal AI applications across the business while building workforce AI acceptance — all without disrupting the customer experience.
See episode →