About This Course
The Additional Skill Acquisition Programme (ASAP) of the Department of Higher Education, Government of Kerala was initiated in the year 2012 as part of the preventive dimension of the State Skill Development Programme (SSDP) to impart employability skills to students of educational institutions. The programme has been successfully delivering a three tier model of skilling involving Foundation Module (Communication Skills and basic IT), Industry domain Skills (NSQF Courses from 23 sectors) and Industry Internship and covered more than 1.5 lakh students. ASAP skill training programmes are demand-based, industry-led and futuristic. Involvement of industry right from curriculum development upto internships, learner-oriented experiential communication skill training and focus on quality assurance are the hallmarks of ASAP training. ASAP has 1211 educational institutions as its training partners, 153991 students enrolled as trainees, 41 training service providers, 82 skill courses across 22 skill sectors, 121 Skill Development Centers (SDC) in public institutions, MoUs with 22 Sector Skill Councils (SSC), and 16 Community Skill Parks (CSP) equipped with state-of-the-art training facilities and international collaborations for multi skill training. Through 22 Business Advisory Committees comprising experts from the industry and the academia, ASAP constantly develops industry relevant and demand based curricula which is offered through experienced and professionally trained trainers.
AI -Machine Learning Developer is a NSQF Level 7 Qualification with 756 hours of training ie. 132 hours of theory , 224 hrs of practical and 400 hrs of internship/project. Individuals taking up this job role after completing the programme would be responsible for developing applications and platforms in AI Machine Learning. They will be responsible for evaluating the technical performance of algorithmic models on the system on which it is being deployed. They will be proficient in developing, designing, building, testing and deploying AI solutions.
Mathematical course on Linear Algebra, Probability and Random Process.
Basic knowledge of Programming Logic.
Basic knowledge of Python programming and data analysis and mathematical foundation for machine learning.
Mathematical Foundation For Machine Learning.