Best Artificial Intelligence Courses | Certifications | Syllabus | Books in 2023

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    Explore the Best Free Online Artificial Intelligence Courses and Certifications in 2023, Syllabus, Books, and Benefits to help you choose the right program for your needs.

    Artificial Intelligence Courses | Certifications
    | Syllabus | Books

    Why Artificial Intelligence Courses & Certifications Important?

    Artificial Intelligence is a branch of computer science that focuses on developing intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making. While programming languages like Python, R, and Java are commonly used for building AI applications.

    Artificial Intelligence Courses and certifications are important for several reasons:

    • Artificial Intelligence Certifications can be advantageous during job interviews at preferred companies.
    • Artificial Intelligence Certification helps in learning the new technologies, skills, and abilities for a specific promotion.
    • A Artificial Intelligence certification course gives you a competitive advantage over others.
    • It enhances prospects of promotion, raises and new job prospects.
    • Keeps knowledge up to date.

    Artificial Intelligence Courses & Certifications Topic & Syllabus?

    Here is a general syllabus for learning Artificial Intelligence:

    Week 1: Introduction to Artificial Intelligence

    • Definition and brief history of AI
    • Applications of AI in various fields
    • Types of AI: Rule-based, Search-based, Machine Learning-based, and Deep Learning-based AI

    Week 2: Mathematics for AI

    • Linear Algebra: Vectors, Matrices, Eigenvalues, and Eigenvectors
    • Probability Theory: Probability distributions, Bayes’ theorem, and Markov models
    • Calculus: Derivatives and Gradients
    • Statistics: Descriptive statistics, Inferential statistics, and Hypothesis testing

    Week 3-4: Machine Learning

    • Supervised Learning: Linear regression, Logistic regression, Decision trees, Random forests, and Naive Bayes classifier
    • Unsupervised Learning: Clustering (K-Means, Hierarchical clustering), and Dimensionality reduction (PCA, t-SNE)
    • Reinforcement Learning: Markov Decision Process, Q-learning, and Deep Reinforcement Learning
    • Deep Learning: Neural networks, Convolutional Neural Networks, Recurrent Neural Networks, and Autoencoders

    Week 5-6: Natural Language Processing

    • Text Processing: Tokenization, Stop words removal, Stemming, and Lemmatization
    • Text Classification: Sentiment Analysis, Topic modeling, and Document classification
    • Language Generation: Neural Language Models, Text Generation, and Machine Translation
    • Speech Recognition: Speech Processing, Feature extraction, and Acoustic Modeling

    Week 7-8: Computer Vision

    • Image Processing: Filtering, Edge detection, and Image enhancement
    • Object Recognition: Feature extraction, Feature matching, and Object detection
    • Object Tracking: Optical flow, Kalman filter, and Particle filter
    • Image Segmentation: Thresholding, Clustering, and Edge-based segmentation
    • Convolutional Neural Networks: Architecture, Transfer Learning, and Object Detection

    Week 9-10: Robotics

    • Robotics Fundamentals: Robot structure, Robot kinematics, and Robot dynamics
    • Robot Perception: Sensor fusion, Visual perception, and Lidar perception
    • Robot Control: PID controller, and Model predictive control
    • Robot Planning: Path planning, Trajectory planning, and Motion planning
    • Robot Learning: Imitation learning, Reinforcement learning, and Meta learning

    Week 11-12: Ethics and Future of AI

    • AI and Society: Social impact of AI, Job displacement, and Income inequality
    • AI and Ethics: Bias and Fairness, Privacy, and Transparency
    • AI Safety and Security: Adversarial attacks, Data poisoning, and Model stealing
    • Future of AI: AI and Singularity, AI and Creativity, and AI and Human augmentation

    Best Artificial Intelligence Books (High User Rating)

    We recommend top Artificial Intelligence books to aid in learning Artificial Intelligence knowledge.

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    Learn and Understand Artificial Intelligence Using this Courses. Here you will also get a certificate after completing this Artificial Intelligence courses.

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