REGULAR ITEC COURSES ARE BEING OFFERED
ITEC :Indian Technical and Economic Cooperation

Home >  CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING NOIDA  ,  NOIDA

 

Centre for Development of Advanced Computing (C-DAC) is the premier R&D organization of the Ministry of Electronics and Information Technology (MeitY), Govt. of India for carrying out R&D in IT, Electronics and associated areas. Different areas of C-DAC, had originated at different times, many of which came out as a result of identification of opportunities. The setting up of C-DAC in 1988 itself was to built Supercomputers in context of denial of import of Supercomputers by USA. Since then C-DAC has been undertaking building of multiple generations of Supercomputer starting from PARAM with 1 GF in 1988. Almost at the same time, C-DAC started building Indian Language Computing Solutions with setting up of GIST group (Graphics and Intelligence based Script Technology). National Centre for Software Technology (NCST) set up in 1985 had also initiated work in Indian Language Computing around the same period. Electronic Research and Development Centre of India (ER and DCI) with various constituents starting as adjunct entities of various State Electronic Corporations, had been brought under the hold of Department of Electronics and Telecommunications (now MeitY) in around 1988. They were focusing on various aspects of applied electronics, technology and applications. With the passage of time as a result of creative echo system that got set up in C-DAC, more areas such as Health Informatics, etc., got created. while right from the beginning the focus of NCST was on Software Technologies. similarly C-DAC started its education and training activities in 1994 as a spin-off with the passage of time, it grew to a large efforts to meet the growing needs of Indian Industry for finishing schools. C-DAC has today emerged as a premier third party R&D organization in IT and E (Information Technologies and Electronics) in the country working on strengthening national technological capabilities in the context of global developments in the field and responding to change in the market need in selected foundation areas. In that process, C-DAC represents a unique facet working in close junction with MeitY to realize nations policy and pragmatic interventions and initiatives in Information Technology. As an institution for high-end Research and Development, C-DAC has been at the forefront of the Information Technology (IT) revolution, constantly building capacities in emerging/enabling technologies and innovating and leveraging its expertise, caliber, skill sets to develop and deploy IT products and solutions for different sectors of the economy, as per the mandate of its parent, the Ministry of Electronics and Information Technology, Government of India and other stakeholders including funding agencies, collaborators, users and the market-place.

Institute address: B-30, INSTITUTIONAL AREA, SECTOR-62, NOIDA, 201307

2022-2023

You can browse the available courses on clicking the links below:

S.No. Name of Courses From To Partner Countries Participant Profile SynopsisApply NowCourse Type
1SPECIALISED PROGRAMME ON MACHINE LEARNING04-Jul-202212-Aug-2022ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETCMACHINE LEARNING IS A TECHNIQUE BEHIND INNOVATIONS SUCH AS FACIAL RECOGNITION, SELF-DRIVING CARS, PREDICTIVE RESULTS IN SEARCH, PREDICTIVE TEXT ETC. THE OBJECTIVE OF THIS TRAINING PROGRAM IS TO UNDERSTAND HOW MACHINES CAN LEARN FROM ITS PAST EXPERIENCE WHICH IS CONSIDERED AS THE CORE OF AI. THE FOCUS IS ON CREATING STRONG FUNDAMENTAL KNOWLEDGE SETS ON BUILDING ALGORITHMS BY MASTERING THE PRINCIPLES OF STATISTICAL ANALYSIS, MACHINE LEARNING AND DEEP LEARNING. DURING THE COURSE STUDENTS WILL BE ABLE TO: 1. GAIN AN IN-DEPTH UNDERSTANDING OF DATA STRUCTURE AND DATA MANIPULATION IN PYTHON PROGRAMMING 2. GAIN EXPERTISE IN MATHEMATICAL COMPUTING USING THE NUMPY AND SCIKIT-LEARN AND HANDLING DATA USING PANDAS 3. COMPREHEND THE PRINCIPLES, ALGORITHMS, AND APPLICATIONS OF MACHINE LEARNING 4. LEARN THE APPLICATIONS OF MACHINE LEARNING ACROSS VARIOUS USE CASES LIKE CUSTOMER SERVICE, FINANCIAL SERVICES, HEALTHCARE AND MORE 5. UNDERSTAND SUPERVISED AND UNSUPERVISED LEARNING MODELS INCLUDING LINEAR REGRESSION, LOGISTIC REGRESSION, CLUSTERING, CLASSIFICATION, K-NN 6. MASTER THE CONCEPTS OF RECOMMENDATION ENGINE AND TIME SERIES MODELING, SEARCH ALGORITHMS, NEURAL NETWORKS, AND NLP
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