Instructor-led Artificial Intelligence Certification live Online Training Schedule

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60,000.00 Duration: 60 Hours
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About your Artificial Intelligence Certification Training

Skills Covered

Machine Learning and Deep Learning
Neural Networks and AI Model Development
Natural Language Processing and Computer Vision
AI Ethics and Governance

Tools Covered

Python programming language
AI and ML libraries (TensorFlow, Keras, PyTorch, Scikit-learn)
NLP tools (NLTK, SpaCy)
Computer Vision libraries (OpenCV)

Artificial Intelligence Certification Training Syllabus

Curriculum Designed by Experts

Introduction to Artificial Intelligence
Topics
  • Definition and Scope of AI
  • History and Evolution of AI
  • Applications of AI in Various Industries
Topics
  • Overview of Machine Learning
  • Supervised Learning: Regression and Classification
  • Unsupervised Learning: Clustering and Dimensionality Reduction
  • Reinforcement Learning
Topics
  • Basics of Neural Networks
  • Deep Learning Architectures (CNN, RNN, LSTM)
  • Training Deep Learning Models
  • Hyperparameter Tuning and Optimization
Topics
  • Introduction to NLP
  • Text Processing and Feature Extraction
  • Sentiment Analysis
  • Language Models and Transformers
Topics
  • Basics of Image Processing
  • Convolutional Neural Networks (CNNs)
  • Object Detection and Recognition
  • Image Segmentation
Topics
  • Ethical Considerations in AI
  • Bias and Fairness in AI
  • Data Privacy and Security
  • Regulatory and Legal Aspects
Topics
  • Developing AI Solutions
  • Real-world AI Projects
  • Case Studies in Various Domains

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Why Artificial Intelligence Certification Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Artificial Intelligence Certification Training Details

This comprehensive course covers a wide range of AI topics, including machine learning, neural networks, deep learning, natural language processing, and computer vision. Participants will learn to develop AI models, understand their underlying algorithms, and apply AI techniques to solve real-world problems.

  • Develop a comprehensive understanding of AI principles and applications, enhancing your ability to implement AI solutions across various industries.
  • Boost your career prospects by gaining a certification that is highly valued in the tech industry, opening up opportunities in AI development, research, and implementation.
  • Stay competitive in the job market by acquiring cutting-edge AI skills, positioning yourself as a forward-thinking professional capable of driving innovation.
  • Comprehensive understanding of AI and its applications.
  • Hands-on experience with AI tools and frameworks.
  • Opportunity to work on real-world AI projects.
  • Access to a network of AI professionals and experts.
  • Machine Learning and Deep Learning
  • Neural Networks and AI Model Development
  • Natural Language Processing and Computer Vision
  • AI Ethics and Governance
  • Python programming language
  • AI and ML libraries (TensorFlow, Keras, PyTorch, Scikit-learn)
  • NLP tools (NLTK, SpaCy)
  • Computer Vision libraries (OpenCV)
  • Understand the core concepts of AI and machine learning.
  • Develop and implement AI models using advanced techniques.
  • Apply AI to solve real-world problems in various domains.
  • Address ethical and governance issues in AI deployment.
  • Data Scientists and Analysts
  • Machine Learning Engineers
  • Software Developers
  • IT Professionals
  • Anyone interested in advancing their AI skills
  • Basic knowledge of programming (Python preferred)
  • Understanding of basic statistics and mathematics
  • Core AI concepts and techniques
  • Machine learning and deep learning algorithms
  • Natural language processing and computer vision
  • Ethical considerations and best practices in AI
  • A computer with an internet connection
  • Python and related libraries installed
  • IDEs like Jupyter Notebook or PyCharm
  • AI Research Scientist
  • Machine Learning Engineer
  • Data Scientist
  • AI Consultant
  • Software Developer

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