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ITEC :Indian Technical and Economic Cooperation

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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 : 2024-2025
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 CYBER SECURITY & FORENSICS01-May-202414-May-2024ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF NETWORKING , WINDOWS & LINUX OPERATING SYSTEM.AIM-TO PREPARE THE PROFESSIONALS TO CREATE AWARENESS ABOUT THREATS,ATTACKS AND VULNERABILITIES AND HELP IN MITIGATION AND IDENTIFICATION OF THE FOOTPRINTS OF THE VARIOUS CYBER ATTACKS.TO INSTILL THE MINDSET OF UNDERSTANDING THE CONTINUOUS EVOLVING CYBER THREATS AND ATTACKS.OBJECTIVE-IDENTIFY AND COMPREHEND THE VARIOUS TYPES OF CYBER THREATS LIKE MALWARE, PHISHING AND OTHER ATTACK VECTORS.HELP UNDERSTAND THE ENCRYPTION,NETWORK SECURITY BASICS.GAIN THE HANDS ON EXPERIENCE ON ETHICAL HACKING TOOLS AND TECHNIQUES.IMPLEMENT AND MANAGE SECURITY MEASURES TO PROTECT NETWORK INFRASTRUCTURE USING FIREWALLS,IDPS ,UTM.ACQUIRE KNOWLEDGE OF CYBER FORENSICS TOOLS AND METHODOLOGIES FOR THE INVESTIGATING CYBER CRIMES.EXPLAIN THE IMPORTANCE OF STAYING UPDATED ON THE LATEST CYBER SECURITY TRENDS AND TECHNOLOGIES.
Details		COMPLETEDITEC
2SPECIALISED PROGRAMME ON BIG DATA ANALYTICS FOR JORDAN01-Jul-202420-Sep-2024JORDANGOVT 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		 COMPLETEDe-ITEC
3SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE-SPANISH22-Jul-202409-Aug-2024PERU GOVERNMENT OFFICIALS, TEACHERS, PROFESSIONALS PREFERABLY HAVING IT BACKGROUND.AIM-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
4SPECIALISED PROGRAMME ON MOBILE APP DEVELOPMENT WOMEN ONLY31-Jul-202413-Aug-2024ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF JAVA PROGRAMMING.AIM-THIS PROGRAM OFFERS OPPORTUNITY TO LEARN ANDROID APP DEVELOPMENT.HERE WE CAN DESIGN NATIVE APPLICATIONS,WHICH ARE SPECIFIC TO ANDROID OS DEVICES LIKE MOBILES,TABLETS ETC.THIS COURSE WILL HELP PARTICIPANTS TO CREATE RICHLY FEATURED AND ADAPTABLE MOBILE APPLICATIONS SOLUTIONS FOR REAL TIME PROBLEMS.OBJECTIVE-LEARN THE BASICS OF MOBILE PLATFORM AND ITS APPLICATIONS.TO DEVELOP,IMPLEMENT AND DEPLOY TECHNIQUES IN APP DEVELOPMENT FOR ANDROID PLATFORM.LEARN TO ADD FEATURES IN APPS BASED ON FIREBASE CLOUD MESSAGING,DATA STORAGE.PARTICIPANTS CAN ENGAGE WITH DYNAMIC AND SEGMENTED APP FEATURES AND NOTIFICATIONS.BUILD,LAUNCH AND MAINTAIN NATIVE MOBILE APPS.
Details		COMPLETEDITEC
5SPECIALISED PROGRAMME ON BIG DATA ANALYTICS FOR JORDAN30-Sep-202425-Oct-2024JORDANGOVT 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		 COMPLETEDITEC
6SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE - SPANISH20-Nov-202403-Dec-2024ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC.PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE OF PYTHON PROGRAMMING AND BASICS OF MACHINE LEARNING.AIM-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.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
7SPECIALISED PROGRAMME ON BIG DATA ANALYTICS06-Dec-202419-Dec-2024ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF LINUX OPERATING SYSTEM.AIM-THE AIM OF THIS COURSE IS TO UNDERSTAND AND IMPLEMENT VARIOUS BIG DATA TECHNOLOGIES LIKE HADOOP,SPARK.EXPLAIN THE IMPACT OF BIG DATA,INCLUDING USE CASES,TOOLS AND PROCESSING METHODS.DESCRIBE APACHE HADOOP ARCHITECTURE,ECOSYSTEM,PRACTICES AND USER RELATED APPLICATIONS. OBJECTIVES-BIG DATA ANALYTICS INVOLVES THE USE OF ADVANCED TOOLS AND TECHNIQUES TO PROCESS,MANAGE AND ANALYZE MASSIVE VOLUMES OF DATA,WITH THE GOAL OF UNCOVERING PATTERNS,TRENDS AND VALUABLE INFORMATION.GAIN A COMPREHENSIVE UNDERSTANDING OF THE FUNDAMENTAL CONCEPTS RELATED TO BIG DATA AND THE CHALLENGES ASSOCIATED WITH LARGE-SCALE DATA PROCESSING.FAMILIARIZE STUDENTS WITH THE TOOLS AND TECHNOLOGIES COMMONLY USED IN BIG DATA ANALYTICS SUCH AS HADOOP,SPARK,HIVE AND NOSQL DATABASES.LEARN HOW TO EFFICIENTLY PROCESS AND MANAGE LARGE DATASETS, INCLUDING DATA CLEANING,TRANSFORMATION, AND INTEGRATION.DEVELOP SKILLS IN CREATING VISUALIZATIONS THAT EFFECTIVELY COMMUNICATE INSIGHTS DERIVED FROM BIG DATA.CULTIVATE PROBLEM SOLVING SKILLS TO ADDRESS REAL WORLD CHALLENGES RELATED TO BIG DATA SUCH AS IDENTIFYING BUSINESS OPPORTUNITIES,OPTIMIZING PROCESSES OR DETECTING ANOMALIES.
Details		COMPLETEDITEC
8SPECIALISED PROGRAMME ON MACHINE LEARNING22-Jan-202504-Feb-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE IN PYTHON PROGRAMMING.AIM-EQUIP PARTICIPANTS WITH A SOLID FOUNDATION IN MACHINE LEARNING,EMPOWERING THEM TO APPLY SUPERVISED AND UNSUPERVISED LEARNING TECHNIQUES EFFECTIVELY.OBJECTIVES-UNDERSTAND THE FUNDAMENTALS AND TYPES OF MACHINE LEARNING.GAIN PROFICIENCY IN KEY MACHINE LEARNING LIBRARIES,NUMPY,PANDAS AND SCIKIT LEARN.MASTER SUPERVISED LEARNING ALGORITHMS LINEAR REGRESSION,LOGISTIC REGRESSION,K NEAREST NEIGHBORS,SVM,EXPLORE UNSUPERVISED LEARNING TECHNIQUES,K MEANS CLUSTERING AND DBSCAN.HARNESS THE POWER OF DECISION TREES,RANDOM FORESTS AND ENSEMBLE LEARNING.INTRODUCE NEURAL NETWORKS USING TENSORFLOW AND KERAS.APPLY THEORETICAL CONCEPTS THROUGH HANDS ON EXERCISES FOR PRACTICAL PROFICIENCY.ENABLE PARTICIPANTS TO CONFIDENTLY APPROACH REAL WORLD MACHINE LEARNING CHALLENGES.
Details		COMPLETEDITEC
9MOBILE APP DEVELOPMENT12-Feb-202525-Feb-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE IN JAVA PROGRAMMING.AIM-THIS PROGRAM OFFERS OPPORTUNITY TO LEARN ANDROID APP DEVELOPMENT.HERE,WE CAN DESIGN NATIVE APPLICATIONS,WHICH ARE SPECIFIC TO ANDROID-OS DEVICES LIKE MOBILES,TABLETS ETC.THIS COURSE WILL HELP PARTICIPANTS TO CREATE RICHLY FEATURED AND ADAPTABLE MOBILE APPLICATIONS SOLUTIONS FOR REAL TIME PROBLEMS.OBJECTIVES-LEARN THE BASICS OF MOBILE PLATFORM AND ITS APPLICATIONS.TO DEVELOP,IMPLEMENT AND DEPLOY TECHNIQUES IN APP DEVELOPMENT FOR ANDROID PLATFORM.LEARN TO ADD FEATURES IN APPS BASED ON FIREBASE CLOUD MESSAGING,DATA STORAGE.PARTICIPANTS CAN ENGAGE WITH DYNAMIC AND SEGMENTED APP FEATURES AND NOTIFICATIONS.BUILD,LAUNCH AND MAINTAIN NATIVE MOBILE APPS.
Details		 COMPLETEDITEC
10SPECIALISED PROGRAMME ON IOT-INTERNET OF THINGS26-Feb-202511-Mar-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF C PROGRAMMING.AIM-THIS COURSE AIMS TO DEVELOP KNOWLEDGE AND CRITICAL UNDERSTANDING OF THE UNDERLYING PRINCIPLES OF INTERNET OF THINGS.OBJECTIVE-UNDERSTAND THE ARCHITECTURE OF IOT.FAMILIARIZE ON INTERFACING PERIPHERALS WITH RASPBERRY PI TO EXPLORE THE APPLICATION AREAS OF IOT.TO UNDERSTAND THE BUILDING BLOCKS OF IOT AND CHARACTERISTICS.
Details		COMPLETEDITEC


Other courses for this institute:

S.No. Name of Courses From To Open for Paricipants From Participant Profile SynopsisApply NowCourse Type


Other courses for this institute : 2025-2026
S.No. Name of Courses From To Open for Paricipants From Participant Profile SynopsisApply NowCourse Type
1SPECIALISED PROGRAMME ON MOBILE APP DEVELOPMENT - IN SPANISH07-Jan-202620-Jan-2026ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF JAVA PROGRAMMING.AIM-THE AIM OF A SPECIALISED PROGRAM IN ANDROID APP DEVELOPMENT IS TO EQUIP LEARNERS WITH THE TECHNICAL SKILLS AND PRACTICAL EXPERIENCE NEEDED TO DESIGN,BUILD AND DEPLOY HIGH-QUALITY ANDROID APPLICATIONS.THE PROGRAM FOCUSES ON MASTERING JAVA,UTILIZING ANDROID STUDIO AND UNDERSTANDING THE ANDROID SDK AND APIS.LEARNERS WILL GAIN EXPERTISE IN CREATING INTUITIVE USER INTERFACES,INTEGRATING DEVICE HARDWARE,IMPLEMENTING SECURE AND SCALABLE BACKEND CONNECTIONS AND OPTIMIZING APP PERFORMANCE.WITH AN EMPHASIS ON PROJECT-BASED LEARNING,THE PROGRAM PREPARES INDIVIDUALS FOR REAL-WORLD CHALLENGES IN ANDROID DEVELOPMENT,EMPOWERING THEM TO CREATE INNOVATIVE SOLUTIONS AND SUCCEED AS PROFESSIONAL ANDROID DEVELOPERS.OBJECTIVES-BUILD INTERACTIVE ANDROID APPS WITH NAVIGATION,STORAGE AND NETWORKING.WORK WITH FIREBASE FOR AUTHENTICATION AND DATA STORAGE.UNDERSTAND HOW TO USE MATERIAL DESIGN PRINCIPLES TO CREATE POLISHED UIS.BE READY TO DEPLOY AND PUBLISH THEIR APPS TO THE PLAY STORE.
Details		ITEC
2SPECIALISED PROGRAMME ON MACHINE LEARNING10-Sep-202523-Sep-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE IN PYTHON PROGRAMMING & BASIC UNDERSTANDING OF STATISTICS, LINEAR ALGEBRA AND CALCULUS.AIM-TO EQUIP PARTICIPANTS WITH A SOLID FOUNDATION IN MACHINE LEARNING,ENABLING THEM TO SOLVE REAL-WORLD PROBLEMS USING MODERN TECHNIQUES IN SUPERVISED,UNSUPERVISED AND DEEP LEARNING AND TO MANAGE THE LIFECYCLE OF MACHINE LEARNING MODELS EFFECTIVELY.OBJECTIVES-UNDERSTAND THE FUNDAMENTALS AND TYPES OF MACHINE LEARNING.GAIN HANDS-ON EXPERIENCE WITH KEY MACHINE LEARNING LIBRARIES.MASTER SUPERVISED AND UNSUPERVISED LEARNING TECHNIQUES.DEVELOP FAMILIARITY WITH NEURAL NETWORKS AND DEEP LEARNING BASICS.LEARN THE ESSENTIALS OF MODEL DEPLOYMENT AND LIFECYCLE MANAGEMENT.
Details		ITEC
3SPECIALISED PROGRAMME ON CYBER SECURITY & FORENSICS20-Aug-202502-Sep-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC. PARTICIPANTS SHOULD HAVE BASIC KNOWLEDGE OF NETWORKING , WINDOWS & LINUX OPERATING SYSTEM.AIM - To prepare the professionals and build proficiency in Threat Intelligence and Risk Management.To build resilience against cyberattacks. To foster ethical behaviour and promote cyber security practices. OBJECTIVE - Identify and comprehend the various types of cyber threats like malware, phishing and other attack vectors. Help understand the encryption, network security basics. Gain the hands–on experience on Ethical Hacking tools and techniques. Implement and manage security measures to protect network infrastructure using Firewalls, IDPS, UTM. Acquire knowledge of cyber forensics tools and methodologies for the investigating cyber crimes. Explain the importance of staying updated on the latest cyber security trends and technologies.
Details		ITEC
4SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE09-Jul-202522-Jul-2025ALL COUNTRIESGOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC.PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE OF PYTHON PROGRAMMING AND BASICS OF MACHINE LEARNING.AIM-EXPLORE CORE CONCEPTS OF NEURAL NETWORKS AND DEEP LEARNING THROUGH DETAILED CASE STUDIES.LEARN TO DEVELOP AND APPLY NEURAL NETWORK COMPONENTS AND LEVERAGE DEEP LEARNING TECHNIQUES ON REAL-WORLD DATASETS USING MODERN LIBRARIES AND FRAMEWORKS.GAIN HANDS-ON EXPERIENCE WITH THE LATEST AI COMPUTING PLATFORMS TO BUILD EFFICIENT AND SCALABLE SYSTEMS.UNDERSTAND CURRENT TRENDS AND APPLICATIONS IN AI TO STREAMLINE AND AUTOMATE PROCESSES EFFECTIVELY.COMBINE THEORETICAL FOUNDATIONS WITH PRACTICAL SKILLS FOR DESIGNING, DEVELOPING, AND IMPLEMENTING AI-BASED SOLUTIONS.OBJECTIVES-ACQUIRE COMPREHENSIVE KNOWLEDGE OF CONTEMPORARY AI METHODOLOGIES AND THEIR PRACTICAL APPLICATIONS IN VARIOUS FIELDS.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.GAIN INSIGHTS INTO KEY CHALLENGES IN DATA SCIENCE AND DEEP LEARNING,INCLUDING DATA HANDLING,MODEL SELECTION AND MANAGING COMPLEXITY.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		ITEC
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