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OPEN  ITEC

Course Name: SPECIALISED PROGRAMME ON ARTIFICIAL INTELLIGENCE
Duration: 09-Jul-2025 To 22-Jul-2025
Institute Name: CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING NOIDA
Aim & Objective: 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.
Target Group: GOVT OFFICIALS, PROFESSIONALS, RESEARCH SCHOLARS, TEACHERS ETC.PARTICIPANTS SHOULD HAVE GOOD KNOWLEDGE OF PYTHON PROGRAMMING AND BASICS OF MACHINE LEARNING.
Open for Paricipants From: ALL COUNTRIES
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