Cognitive Computing Technologies
( 25 Modules )

Module #1
Introduction to Cognitive Computing
Overview of cognitive computing, its history, and applications

Module #2
Artificial Intelligence and Machine Learning Fundamentals
Basics of AI, ML, and deep learning; differences and relationships

Module #3
Cognitive Computing Architecture
Components and architecture of cognitive computing systems

Module #4
Natural Language Processing (NLP) Fundamentals
Introduction to NLP, text analysis, and sentiment analysis

Module #5
Deep Learning for NLP
Applications of deep learning in NLP, including recurrent neural networks and transformers

Module #6
Computer Vision Fundamentals
Introduction to computer vision, image processing, and object detection

Module #7
Deep Learning for Computer Vision
Applications of deep learning in computer vision, including convolutional neural networks

Module #8
Cognitive Search and Query
Cognitive search, query expansion, and relevance ranking

Module #9
Knowledge Graphs and Representation
Knowledge graphs, ontology, and entity disambiguation

Module #10
Cognitive Reasoning and Inference
Rule-based systems, logical reasoning, and inference engines

Module #11
Cognitive Computing in Healthcare
Applications of cognitive computing in healthcare, including medical imaging and diagnosis

Module #12
Cognitive Computing in Finance
Applications of cognitive computing in finance, including risk analysis and fraud detection

Module #13
Cognitive Computing in Customer Service
Applications of cognitive computing in customer service, including chatbots and virtual assistants

Module #14
Cognitive Computing and IoT
Applications of cognitive computing in IoT, including sensor data analysis and predictive maintenance

Module #15
Cognitive Analytics and Visualization
Cognitive analytics, data visualization, and insights discovery

Module #16
Cognitive Computing and Cybersecurity
Applications of cognitive computing in cybersecurity, including threat analysis and incident response

Module #17
Ethics and Bias in Cognitive Computing
Ethical considerations, bias, and fairness in cognitive computing systems

Module #18
Cognitive Computing Platforms and Tools
Overview of popular cognitive computing platforms and tools, including IBM Watson and Google Cloud AI

Module #19
Building Cognitive Computing Applications
Hands-on development of cognitive computing applications using popular platforms and tools

Module #20
Cognitive Computing Case Studies
Real-world case studies and applications of cognitive computing in various industries

Module #21
Cognitive Computing and Cloud Computing
Integration of cognitive computing with cloud computing, including scalability and deployment

Module #22
Cognitive Computing and Edge Computing
Integration of cognitive computing with edge computing, including real-time processing and IoT

Module #23
Cognitive Computing and Blockchain
Integration of cognitive computing with blockchain, including decentralized AI and trustless systems

Module #24
Cognitive Computing and Explainability
Explainability and transparency in cognitive computing systems, including model interpretability

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Cognitive Computing Technologies career

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Cognitive Computing Technologies ( 25 Modules )

Cognitive Computing Technologies
( 25 Modules )