Artificial Intelligence

Artificial Intelligence Course

An Artificial Intelligence (AI) course empowers individuals to harness the potential of advanced technologies for solving complex problems and driving innovation. This comprehensive course delves into a wide range of topics, including machine learning algorithms, natural language processing, computer vision, robotics, and neural networks. Participants will gain hands-on experience in designing artificial intelligence (AI) course models, programming intelligent agents, and exploring cutting-edge AI applications.

Level

Certificate

Course Duration

6 months

Mode of Training

Offline /Online

Job Assistant

100% Job Assistant

ELIGIBILITY

Open to all students. No experience required, and no skill background is needed to thrive in this course.

CERTIFICATION

Upon successful completion of the course, participants will receive a recognized certification, validating their proficiency in  Artificial Intelligence. This certification serves as a valuable asset in career advancement and job opportunities in the rapidly evolving digital landscape.the graphic designing course is so beneficial for all the students

ASSESSMENTS

  • Periodic evaluations are integrated into the course duration.
  • Assessments encompass quizzes, assignments, projects, case studies, and objective/subjective evaluations.
  • These evaluations foster consistent student engagement, promoting active learning.
  • Successful completion of evaluations, meeting attendance criteria, end Graphic designing course assessment, and project work lead to a certificate of completion/participation.

The Artificial Intelligence (AI) course provides a comprehensive exploration of artificial intelligence courses and their real-world applications. This course delves into the intricacies of machine learning algorithms, neural networks, natural language processing, and robotics. Participants will acquire hands-on experience in designing, training, and implementing artificial intelligence course models. By immersing themselves in this course, individuals will gain the skills necessary to creatively apply artificial intelligence to solve complex problems across various domains. From enhancing medical diagnoses to optimizing business operations, this course equips participants with the knowledge and practical expertise to navigate the rapidly evolving artificial intelligence course landscape. Graduates of the artificial intelligence course will be well-prepared to contribute to innovative projects, leveraging artificial intelligence’s potential to revolutionize industries and drive meaningful advancements.  

COURSE DETAILS

ARTIFICIAL INTELLIGENCE

MODULE : 1 ( MACHINE LEARNING )

Content Creation and Generation , Content Curation and Recommendation , Personalization , Content Moderation ,SEO and Content Optimization , Natural Language Processing for Insights , Content Translation , Content A/B Testing , Predictive Analytics , Content Generation Automation

MODULE : 2 ( DEEP LEARNING )

Natural Language Processing(NLP),Content Generation , Image and Video Analysis , Recommendation Systems, Content Enhancement and Modification , Content Understanding and Tagging , Neural Networks , Feature Extraction , Complex Data Analysis , Representation Learning , Learning from Data , Applications

MODULE : 3 (COMPUTER VISION)

Content Analysis and Tagging , Visual Search , Content Moderation , Augmented Reality (AR) and Virtual Reality (VR) , Automated Image and Video Editing , Personalized Content Recommendations , Content Creation and Generation , Visual Storytelling , Product Recommendation and E-commerce , Content Accessibility , Image Recognition , Video Analysis , Object Segmentation , Feature Extraction , Scene Understanding , 3D Vision , Applications

MODULE : 4 (Natural learning language)

Text Understanding , Language Generation , Information Extraction , Sentiment Analysis , Language Translation , Text Summarization , Document Classification , Chatbots and Virtual Assistants

MODULE : 5 (DATA MINING AND AI ETHICS )

Data Mining in Content Creation , Ensuring privacy and data protection , AI Ethics in Content Management , Ethical Guidelines for AI in Content , User Trust and Engagement , Privacy Protection , Bias Avoidance , Transparency and Accountability , Fairness and Inclusivity , Human Oversight ,Continual Assessment and Improvement

MODULE : 6 ( IT ANALYTICS )

Foundations of Data Analytics , IT Infrastructure andSystems Analysis , Cybersecurity Analytics , IT Service Management Analytics , Predictive Maintenance and Monitoring , Cloud Computing andBig Data Analytics , Business Intelligence and Decision Support , Machine Learning and AI in IT Analytics , Ethical Considerations in IT Analytics

MODULE : 7 (ROBOTICS AND AI APP)

Learning Resources , Robotics Simulation , AI Development Tools , Community and Collaboration ,News and Updates , Integration with Hardware , Career and Opportunities , Personalization and Progress Tracking

MODULE : 8 ( Projects)

Content Recommendation System , AI-Powered Content Creation , Chatbot for Learning Assistance , Image/Video Recognition for Learning , AI-Based Quizand AssessmentGenerative Art with AI , Iand Curation Personalized , Learning Paths with AI , AI-Enhanced Language Translation, AI-Powered Content Verification

How to Apply

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