Last Day to Sign-up for MY TechHire is June 15, 2020.
Daytona State College, in conjunction with Florida State College at Jacksonville and Eastern Florida State College, was awarded a $3.7 million grant through the U.S. Department of Labor’s TechHire program. This program is a subset of the White House’s TechHire Initiative.
The Florida East Coast TechHire (FECT) program aims to provide at least 400 people, including out-of-school youth and young adults, with pathways to careers in advanced manufacturing and IT-related fields. Initial training strategies will include accelerated boot camps offering credentials in manufacturing and IT, hands-on experience in simulated job scenarios, as well as paid internships with local employers. Additional education and training can be obtained through degree programs offered at all three institutions. This includes Daytona State’s associate degrees in Engineering Technology, Computer Information Technology and Network Systems Technology, as well as bachelor’s degrees in Engineering Technology, Information Technology, and Supervision and Management.
Examples of certifications and occupations include:
IT | Manufacturing | |
Certifications | CompTIA A+, Linux+, Security+, Network+, MCP, MOS, Microsoft MCSA, Wireless Networking, Cisco Certified Network Associate, Project Management | Certified Production Technician, Industrial Machinery Maintenance and Milling, Additive Manufacturing, Logistics, AutoCAD User, Project Management |
Occupations | General and Operations Manager, Computer Systems Analysts, Computer Programmers, Computer User Support Specialist, Computer Network Support Specialist | Machinists, Industrial Machinery Mechanics, First-Line Supervisors of Production and Operating Workers |
MYTechHire is part of a national study to test if offering individuals skills training and extra support services helps participants complete training and find employment in middle-high skill jobs. Support services and spaces in specific trainings are limited. Eligible applicants will be chosen by a computerized selection process