Certified Artificial Intelligence Specialist| Arcitura certified
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The Artificial Intelligence (AI) Specialist track is comprised of three courses that develop skills in AI practices and learning approaches, as well as Neural Network architectures, cell types and activation functions. The final course module consists of a series of lab exercises that require participants to apply their knowledge of the preceding courses in order to fulfill project requirements and solve real world problems. Completion of these courses as part of a virtual or on-site workshop results in each participant receiving an official Digital Certificate of Completion, as well as a Digital Training Badge from Acclaim/Credly.
To achieve the Artificial Intelligence Specialist Certification, Exam AI90.01 must be completed with a passing grade. A Certified Artificial Intelligence Specialist understands how AI practices can be utilized to perform data analysis and autonomous data processing with unprecedented functionality and business value. In addition to a demonstrated proficiency of AI learning approaches and functional designs, the Certified Artificial Intelligence Specialist has comprehensive knowledge of Neural Network architecture models, associated layers and neuron cell types. Those who achieve this certification receive an official Digital Certificate of Excellence, as well as a Digital Certification Badge from Acclaim/Credly, with an account that supports the online verification of certification status.
Machine Learning Specialist Certification Bangalore
Machine Learning Specialist Certification
Machine Learning Specialist Certification
Training Bangalore
Machine Learning Specialist Certification
Training online Bangalore
What is the minimum and maximum size of the class?
Minimum class size is 12 and maximum class size is 42.
Is there any online/virtual training for Artificial Intelligence specialist certification classes?
Yes, there is no online/virtual training for Artificial Intelligence Specialist. Course requires in-depth knowledge of the Artificial Intelligence which you get from our certified experts who lead the workshop.
What do I get if I attend 2 days Artificial Intelligence Specialist training?
Successfully passing (65%) the 60-minute examination, consisting of 40 multiple-choice questions, leads to the Artificial Intelligence specialist certificate. The certification is governed and maintained by Arcitura.
To achieve the Artificial Intelligence Specialist Certification, Exam AI90.01 must be completed with a passing grade. A Certified Artificial Intelligence Specialist understands how AI practices can be utilized to perform data analysis and autonomous data processing with unprecedented functionality and business value. In addition to a demonstrated proficiency of AI learning approaches and functional designs, the Certified Artificial Intelligence Specialist has comprehensive knowledge of Neural Network architecture models, associated layers and neuron cell types. Those who achieve this certification receive an official Digital Certificate of Excellence, as well as a Digital Certification Badge from Acclaim/Credly, with an account that supports the online verification of certification status.
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Course Content
Day 1 - Fundamental Artificial Intelligence
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AI Business and Technology Drivers
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AI Benefits and Challenges
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Business Problem Categories Addressed by AI
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AI Types (Narrow, General, Symbolic, Non-Symbolic, etc.)
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Common AI Learning Approaches and Algorithms
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Supervised Learning, Unsupervised Learning, Continuous Learning
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Heuristic Learning, Semi-Supervised Learning, Reinforcement Learning
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Common AI Functional Designsl
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Computer Vision, Pattern Recognition
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Robotics, Natural Language Processing (NLP)
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Speech Recognition, Natural Language Understanding (NLU)
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Frictionless Integration, Fault Tolerance Model Integration
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Neural Networks, Neurons, Layers, Links, Weights
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Understanding AI Models and Training Models and Neural Networks
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Understanding how Models and Neural Networks Exist
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Loss, Hyperparameters, Learning Rate, Bias, Epoch
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Activation Functions (Sigmoid, Tanh, ReLU, Leaky RelU, Softmax, Softplus)
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Neuron Cell Types (Input, Backfed, Noisy, Hidden, Probabilistic, Spiking, Recurrent, Memory, Kernel, nvolution, Pool, Output, Match Input, etc.)
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Fundamental and Specialized Neural Network Architectures
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Perceptron, Feedforward, Deep Feedforward, AutoEncoder, Recurrent, Long/Short Term Memory
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Deep Convolutional Network, Extreme Learning Machine, Deep Residual Network
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Support Vector Machine, Kohonen Network, Hopfield Network
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Generative Adversarial Network, Liquid State Machine
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How to Build an AI System (Step-by-Step)
Day 2 - Advanced Artificial Intelligence
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Data Wrangling Patterns for Preparing Data for Neural Network Input
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Feature Encoding for Converting Categorical Features
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Feature Imputation for Inferring Feature Values
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Feature Scaling for Training Datasets with Broad Features
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Text Representation for Converting Data while Preserving Semantic and Syntactic Properties
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Dimensionality Reduction to Reduce Feature Space for Neural Network Input
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Supervised Learning Patterns for Training Neural Network Models
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Supervised Network Configuration for Establishing the Number of Neurons in Network Layers
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Image Identification for using a Convolutional Neural Network
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Sequence Identification for using a Long Short Term Memory Neural Network
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Unsupervised Learning Patterns for Training Neural Network Models
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Pattern Identification for Visually Identifying Patterns via a Self Organizing Map
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Content Filtering for Generating Recommendations
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Model Evaluation Patterns for Measuring Neural Network Performance
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Training Performance Evaluation for Assessing Neural Network Performance
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Prediction Performance Evaluation for Predicting Neural Network Performance in Production
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Baseline Modeling for Assessing and Comparing Complex Neural Networks
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Model Optimization Patterns for Refining and Adapting Neural Networks
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Overfitting Avoidance for Tuning a Neural Network
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Frequent Model Retraining for Keeping a Neural Network in Synch with Current Data
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Transfer Learning for Accelerating Neural Network Training