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


ITEC Coordinator Details:

NameEmail IdContact Detail
SHRI V.K. SHARMAvksharma[AT]cdac[DOT]in 9811900715 / 0120-2210854
SHRI NAVNEET JAINnavneetjain[AT]cdac[DOT]in 9811900728 / 0120-2210865
SMT PRIYANKA TIWARIpriyankamishra[AT]cdac[DOT]in 9560411488 / 0120-2210800


Courses available for Training Year : 2023-2024

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

S.No. Name of Courses From To Open for Paricipants From Participant Profile SynopsisApply NowCourse Type
1SPECIALISED PROGRAMME ON BIG DATA ANALYTICS04-Mar-202429-Mar-2024JORDAN GOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC .THE AIM OF THIS COURSE IS TO UNDERSTAND AND IMPLEMENT VARIOUS BIG DATA AND MACHINE LEARNING APPROACHES, STUDY THE LATEST BIG DATA TECHNOLOGIES LIKE HADOOP, SPARK. UNDERSTAND AND APPLY MACHINE LEARNING ALGORITHMS AS PER INDUSTRY REQUIREMENT. AT THE END OF THE COURSE, STUDENTS WILL LEARN AND DEVELOP UNDERSTANDING OF THE FOLLOWING - TO EXPLORE THE FUNDAMENTAL CONCEPTS OF BIG DATA ANALYTICS, TO DEVELOP IN-DEPTH KNOWLEDGE AND UNDERSTANDING OF THE BIG DATA ANALYTIC DOMAIN, TO LEARN TO ANALYZE THE BIG DATA USING INTELLIGENT TECHNIQUES, TO UNDERSTAND THE VARIOUS SEARCH METHODS AND VISUALIZATION TECHNIQUES, TO LEARN TO USE VARIOUS TECHNIQUES FOR MINING DATA STREAM, TO UNDERSTAND THE APPLICATIONS USING MAP REDUCE CONCEPTS, TO GET IN DEPTH UNDERSTANDING OF MACHINE LEARNING AND DEEP LEARNING AND NLP TECHNIQUES, TO BE PROFICIENT IN THE CONCEPT OF STATISTICAL ANALYSIS USING R PROGRAMMING, TO ANALYZE AND SOLVE PROBLEMS CONCEPTUALLY AND PRACTICALLY FROM DIVERSE INDUSTRIES, SUCH AS GOVERNMENT MANUFACTURING, RETAIL, EDUCATION, BANKING OR FINANCE, HEALTHCARE AND PHARMACEUTICAL, TO UNDERTAKE INDUSTRIAL RESEARCH PROJECTS FOR THE DEVELOPMENT OF FUTURE SOLUTIONS IN THE DOMAIN OF DATA ANALYTICS TO MAKE AN IMPACT IN THE TECHNOLOGICAL ADVANCEMENT
Details
ITEC
2IT FUNDAMENTALS AND SYSTEM ADMINISTRATION04-Mar-202412-Apr-2024BHUTAN GOVT OFFICIAL, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETCTO INCREASE EMPLOYEE KNOWLEDGE IN NEW TECHNOLOGIES, INTRODUCING EMERGING TECHNOLOGY, UNDERSTANDING OF HOW PC AND WEB BASED PROGRAMS WORK AND HOW THEY WILL USE THEM ON THE JOB.
Details
ITEC
3SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE05-Feb-202423-Feb-2024ALL COUNTRIESGOVERNMENT OFFICIALS, TEACHERS, PROFESSIONALS PREFERABLY HAVING IT BACKGROUNDAIM- THIS COURSE AIMS TO PRESENT IN-DEPTH KNOWLEDGE AND APPLICATIONS IN ARTIFICIAL INTELLIGENCE AND CASE STUDIES BASED ON NEURAL NETWORKS AND DEEP LEARNING. THE COURSE INCLUDES THE IMPLEMENTATION OF NEURAL COMPONENTS AND AS WELL AS APPLYING DEEP LEARNING IN REAL-WORLD DATA SETS USING MODERN DEEP LEARNING PACKAGES. EMPHASIS ON THE LATEST AI COMPUTING PLATFORMS, APPLICATIONS AND TRENDS TO AUTOMATE THE AI-BASED APPLICATION PROCESSES. AN IMPORTANT AIM OF THE COURSE IS TO LEARN PRACTICAL IMPLEMENTATION SKILLS ALONG WITH THE ABOVE CONCEPTS, PRINCIPLES, AND METHODOLOGIES. OBJECTIVE- 1. DEVELOP AN UNDERSTANDING OF MODERN CONCEPTS IN AI AND WHERE THEY CAN BE USED. DESIGN, IMPLEMENT AND APPLY NOVEL AI TECHNIQUES BASED ON EMERGING REAL-WORLD REQUIREMENTS. 2. INTRODUCE MAJOR DEEP LEARNING ALGORITHMS, THE PROBLEM SETTINGS AND THEIR APPLICATIONS TO SOLVE REAL-WORLD PROBLEMS. 3. UNDERSTANDING OF FUNDAMENTAL ISSUES AND CHALLENGES OF DATA SCIENCE AND DEEP LEARNING- DATA, MODEL, SELECTION COMPLEXITY ETC. IDENTIFY THE DEEP LEARNING ALGORITHMS WHICH ARE MORE APPROPRIATE FOR VARIOUS TYPES OF LEARNING TASKS IN VARIOUS DOMAINS. 4. IMPLEMENT RECURRENT NEURAL NETWORKS IN PYTHON USING THE PYTORCH AND TENSORFLOW LIBRARIES AND TRAIN THEM WITH REAL-WORLD DATASETS.
Details
COMPLETEDITEC
4SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE - SPANISH29-Jan-202416-Feb-2024ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETCAIM-THIS COURSE AIMS TO PRESENT IN DEPTH KNOWLEDGE AND APPLICATIONS IN ARTIFICIAL INTELLIGENCE AND CASE STUDIES BASED ON NEURAL NETWORKS AND DEEP LEARNING.THE COURSE INCLUDES THE IMPLEMENTATION OF NEURAL COMPONENTS AND AS WELL AS APPLYING DEEP LEARNING IN REAL WORLD DATA SETS USING MODERN DEEP LEARNING PACKAGES.EMPHASIS ON THE LATEST AI COMPUTING PLATFORMS,APPLICATIONS AND TRENDS TO AUTOMATE THE AI BASED APPLICATION PROCESSES.AN IMPORTANT AIM OF THE COURSE IS TO LEARN PRACTICAL IMPLEMENTATION SKILLS ALONG WITH THE ABOVE CONCEPTS,PRINCIPLES AND METHODOLOGIES.OBJECTIVE-DEVELOP AN UNDERSTANDING OF MODERN CONCEPTS IN AI AND WHERE THEY CAN BE USED. DESIGN,IMPLEMENT AND APPLY NOVEL AI TECHNIQUES BASED ON EMERGING REAL WORLD REQUIREMENTS.INTRODUCE MAJOR DEEP LEARNING ALGORITHMS,THE PROBLEM SETTINGS AND THEIR APPLICATIONS TO SOLVE REAL-WORLD PROBLEMS.UNDERSTANDING OF FUNDAMENTAL ISSUES AND CHALLENGES OF DATA SCIENCE AND DEEP LEARNING DATA,MODEL,SELECTION COMPLEXITY ETC.IDENTIFY THE DEEP LEARNING ALGORITHMS WHICH ARE MORE APPROPRIATE FOR VARIOUS TYPES OF LEARNING TASKS IN VARIOUS DOMAINS.IMPLEMENT RECURRENT NEURAL NETWORKS IN PYTHON USING THE PYTORCH AND TENSORFLOW LIBRARIES AND TRAIN THEM WITH REAL-WORLD DATASETS.
Details
COMPLETEDITEC
5SPECIALISED PROGRAMME ON BIG DATA ANALYTICS04-Dec-202327-Feb-2024JORDAN GOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETCTHE AIM OF THIS COURSE IS TO UNDERSTAND AND IMPLEMENT VARIOUS BIG DATA AND MACHINE LEARNING APPROACHES, STUDY THE LATEST BIG DATA TECHNOLOGIES LIKE HADOOP, SPARK. UNDERSTAND AND APPLY MACHINE LEARNING ALGORITHMS AS PER INDUSTRY REQUIREMENT. AT THE END OF THE COURSE, STUDENTS WILL LEARN AND DEVELOP UNDERSTANDING OF THE FOLLOWING - TO EXPLORE THE FUNDAMENTAL CONCEPTS OF BIG DATA ANALYTICS, TO DEVELOP IN-DEPTH KNOWLEDGE AND UNDERSTANDING OF THE BIG DATA ANALYTIC DOMAIN, TO LEARN TO ANALYZE THE BIG DATA USING INTELLIGENT TECHNIQUES, TO UNDERSTAND THE VARIOUS SEARCH METHODS AND VISUALIZATION TECHNIQUES, TO LEARN TO USE VARIOUS TECHNIQUES FOR MINING DATA STREAM, TO UNDERSTAND THE APPLICATIONS USING MAP REDUCE CONCEPTS, TO GET IN DEPTH UNDERSTANDING OF MACHINE LEARNING AND DEEP LEARNING AND NLP TECHNIQUES, TO BE PROFICIENT IN THE CONCEPT OF STATISTICAL ANALYSIS USING R PROGRAMMING, TO ANALYZE AND SOLVE PROBLEMS CONCEPTUALLY AND PRACTICALLY FROM DIVERSE INDUSTRIES, SUCH AS GOVERNMENT MANUFACTURING, RETAIL, EDUCATION, BANKING OR FINANCE, HEALTHCARE AND PHARMACEUTICAL, TO UNDERTAKE INDUSTRIAL RESEARCH PROJECTS FOR THE DEVELOPMENT OF FUTURE SOLUTIONS IN THE DOMAIN OF DATA ANALYTICS TO MAKE AN IMPACT IN THE TECHNOLOGICAL ADVANCEMENT
Details
COMPLETEDe-ITEC
6SPECIALISED PROGRAMME ON MACHINE LEARNING04-Dec-202322-Dec-2023ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETCAIM- THIS PROGRAMME WILL GIVE A PLATFORM TO PARTICIPANTS TO COMPREHEND THE WAYS TO ANALYZE DATA, SYSTEMATICALLY EXTRACT INFORMATION FROM A LARGE DATASET AND BUILD HIGHLY ACCURATE MACHINE LEARNING MODELS. THE PARTICIPANTS WOULD BE ABLE TO MAKE DATA DRIVEN DECISIONS, TRANSFORM DATA INTO ACTIONABLE INSIGHTS, AND DEVELOP STATISTICALLY SOUND AND ROBUST ANALYTICAL SOLUTIONS. OBJECTIVE- 1.TO DEVELOP AND IMPLEMENT TECHNIQUES FOR DATA CLEANING FOR FURTHER PROCESSING AND VISUALIZATION. 2.TO DEVELOP THE UNDERSTANDING OF PYTHON PROGRAMMING AND ITS USE IN MACHINE LEARNING APPLICATIONS. 3.TO INTRODUCE THE MAJOR MACHINE LEARNING ALGORITHMS AND THEIR APPLICATIONS TO SOLVE THE REAL WORLD PROBLEMS 4.TO INTRODUCE VARIOUS ANALYTICS SOLUTIONS FOR PROCESSING DATASETS AND FOR THE MATHEMATICAL MODELING OF DATA.
Details
COMPLETEDITEC
7SPECIALISED PROGRAMME ON MACHINE LEARNING16-Oct-202310-Nov-2023JORDAN GOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC .AIM - THE COURSE ENCOURAGES UPGRADING OF SKILLS IN THE AREA OF DATA SCIENCE WHICH ENABLE PARTICIPANTS TO WORK ON VARIOUS APPLICATIONS IN A WIDE RANGE OF INDUSTRIES SUCH AS HEALTHCARE, INSURANCE, TRANSPORT, LOGISTICS AND CUSTOMER SERVICE. THE CURRICULUM FOCUS ON DISRUPTIVE TECHNOLOGIES THAT HELP KEY DECISION-MAKERS ACROSS ORGANIZATIONS AND ENTERPRISES PREDICT EMERGING TRENDS, BUILD COMPREHENSIVE STRATEGY, IMPROVE EXISTING PRODUCTS AND SOLUTIONS, PLAN MARKET EXPANSION AND REACH TO THE RIGHT CUSTOMERS. OBJECTIVES - DEVELOP AND IMPLEMENT TECHNIQUES FOR DATA CLEANING FOR FURTHER PROCESSING AND VISUALIZATION, LEARN ANALYTICS SOLUTIONS TO PROCESS HUGE DATASETS AND FOR THE MATHEMATICAL MODELING OF DATA, LEARNERS WILL BE ABLE TO REALISTICALLY ASSESS THE DATA ANALYTICS TECHNOLOGIES FOR DIFFERENT USAGE SCENARIOS, USE APPROPRIATE STATISTICAL TECHNIQUES AND PREDICTIVE ANALYTICS ON REAL WORLD DATA TO DELIVER INSIGHTS AND DISCOVER NEW RELATIONS, VARIOUS ALGORITHMS AND COMPUTATIONS TECHNIQUES ARE USED IN SUPERVISED MACHINE LEARNING PROCESSES FOR ACCURATE CLASS PREDICTION, UNSUPERVISED ALGORITHMS DISCOVER PATTERNS THAT HELP SOLVE FOR CLUSTERING OR ASSOCIATION PROBLEMS, USE DATA MANAGEMENT AND MINING TECHNIQUES IN ORDER TO ANALYZE AND IMPROVE BUSINESS PROCESSES.
Details
COMPLETEDITEC
8SPECIALISED PROGRAMME ON BIG DATA ANALYTICS09-Oct-202327-Oct-2023ALL COUNTRIESGOVERNMENT OFFICIALS WITH MINIMUM 5 YEARS EXPERIENCE PREFERABLY HAVING IT BACKGROUNDAIM- TO EXPLORE THE FUNDAMENTAL CONCEPTS OF BIG DATA ANALYTICS WITH IN-DEPTH KNOWLEDGE AND UNDERSTANDING OF THE BIG DATA ANALYTICS DOMAIN. THIS COURSE AIMS TO PRESENT DEEP KNOWLEDGE OF VARIOUS BIG DATA TECHNOLOGIES SUCH AS HADOOP, MAP REDUCE, HIVE AND SPARK. EMPHASIS ON HADOOP ARCHITECTURE AND ENVIRONMENT USING VARIOUS CASE STUDIES RELATED TO REAL WORLD PROBLEMS. OBJECTIVE- 1.TO DEVELOP AN UNDERSTANDING OF BIG DATA TECHNOLOGIES 2.TO IMPLEMENT AND APPLY BIG DATA TECHNIQUES ON REAL-WORLD REQUIREMENTS 3.TO DESIGN DISTRIBUTED SYSTEMS THAT MANAGE BIG DATA USING HADOOP AND RELATED DATA ENGINEERING TECHNOLOGIES 4.TO USE HDFS AND MAP REDUCE TECHNIQUES FOR STORING AND ANALYZING DATA AT SCALE 5.TO USE HDFS AND MAPREDUCE FOR STORING AND ANALYZING DATA AT SCALE 6.TO USE SPARK TO CREATE SCRIPTS TO PROCESS DATA ON A HADOOP CLUSTER IN MORE COMPLEX WAYS 7.TO ANALYZE NON-RELATIONAL DATA USING MONGODB
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COMPLETEDITEC
9SPECIALIZED PROGRAMME ON MACHINE LEARNING07-Aug-202306-Oct-2023JORDAN GOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC PREFERABLY HAVING IT BACKGROUNDAIM-THE COURSE ENCOURAGES UPGRADING OF SKILLS IN THE AREA OF DATA SCIENCE WHICH ENABLE PARTICIPANTS TO WORK ON VARIOUS APPLICATIONS IN A WIDE RANGE OF INDUSTRIES SUCH AS HEALTHCARE,INSURANCE,TRANSPORT,LOGISTICS AND CUSTOMER SERVICE.THE CURRICULUM FOCUS ON DISRUPTIVE TECHNOLOGIES THAT HELP KEY DECISION-MAKERS ACROSS ORGANIZATIONS AND ENTERPRISES PREDICT EMERGING TRENDS,BUILD COMPREHENSIVE STRATEGY,IMPROVE EXISTING PRODUCTS AND SOLUTIONS,PLAN MARKET EXPANSION AND REACH TO THE RIGHT CUSTOMERS.OBJECTIVES-DEVELOP AND IMPLEMENT TECHNIQUES FOR DATA CLEANING FOR FURTHER PROCESSING AND VISUALIZATION.LEARN ANALYTICS SOLUTIONS TO PROCESS HUGE DATASETS AND FOR THE MATHEMATICAL MODELING OF DATA.LEARNERS WILL BE ABLE TO REALISTICALLY ASSESS THE DATA ANALYTICS TECHNOLOGIES FOR DIFFERENT USAGE SCENARIOS.USE APPROPRIATE STATISTICAL TECHNIQUES AND PREDICTIVE ANALYTICS ON REAL WORLD DATA TO DELIVER INSIGHTS AND DISCOVER NEW RELATIONS.VARIOUS ALGORITHMS AND COMPUTATIONS TECHNIQUES ARE USED IN SUPERVISED MACHINE LEARNING PROCESSES FOR ACCURATE CLASS PREDICTION.UNSUPERVISED ALGORITHMS DISCOVER PATTERNS THAT HELP SOLVE FOR CLUSTERING OR ASSOCIATION PROBLEMS.USE DATA MANAGEMENT AND MINING TECHNIQUES IN ORDER TO ANALYZE AND IMPROVE BUSINESS PROCESSES.
Details
COMPLETEDe-ITEC