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RNN, LSTM and GRU: Sequential Data and Time Series

November 2, 2026

AI for business

How recurrent networks process history: states, gates, time windows and chronological evaluation. Visual examples for useful business forecasting.

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Convolutional Neural Networks: How a CNN Works

November 2, 2026

AI for business

CNNs explained through filters, feature maps and a visual calculation. Data, transfer learning and evaluation for a practical image-analysis application.

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How a Transformer Works: The AI Attention Mechanism

November 2, 2026

AI for business

AI attention explained visually: tokens, queries, keys, values, masks, encoders and decoders. Demonstrative examples and business application criteria.

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Deepfakes: Protecting Business Identity and Communications

November 2, 2026

AI for business

What a deepfake is and how to check an unusual business request: voice, video, provenance, independent confirmation and authorised actions. A practical business guide.

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Computer Vision for Business: Applications and Evaluation

November 2, 2026

AI for business

Using images and video in business applications: classification, detection, segmentation, OCR and tracking. Diagrams, examples and criteria for evaluating a pilot.

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NER: Extracting Entities from Documents with AI

November 2, 2026

AI for business

Turn company names, dates and locations in documents into verifiable information: NER, OCR, normalisation, evaluation and controlled CRM integration.

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AI Sentiment Analysis: Useful Customer Feedback for Business

November 2, 2026

AI for business

How to analyse reviews and messages with AI: polarity, aspects, language, evaluation and dashboards. Clear examples, illustrative calculations and outcome checks.

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AI Alignment for Business: Objectives, Permissions and Evaluation

November 2, 2026

AI for business

Understand AI alignment and its business application: verifiable objectives, access boundaries, approvals, evaluation and operational monitoring.

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ANI, AGI and ASI: AI Capabilities and Evaluation

November 2, 2026

AI for business

Understand narrow AI, general AI and superintelligence. Distinguish generality, performance and autonomy with diagrams and business evaluation criteria.

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Deep Learning: Neural Networks and Business Applications

November 2, 2026

AI for business

How deep learning works: layers, training and inference. Business examples, pretrained models, data, computing resources and application evaluation.

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Supervised, Unsupervised and Reinforcement Learning

November 2, 2026

AI for business

Choose the right machine learning approach: labels, groups or rewards. Business examples, diagrams, evaluation and practical data preparation.

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Employee AI Skills: Practical Use and Verification

November 2, 2026

AI for business

Prepare employees to use AI: permitted data, clear requests, output verification, approvals and practical role-based training exercises.

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