Nux Software Solutions Training Institute stands out as a premier provider of cloud computing training in Coimbatore. With AWS as a cornerstone, our comprehensive courses empower businesses with essential compute power, content delivery, and database storage capabilities. Our AWS cloud training is meticulously crafted to deepen understanding of AWS architectural principles, paving the way for mastering cloud computing and reshaping IT architecture norms.
Renowned as a leading AWS training institute in Coimbatore and Tamil Nadu, Nux Software Solutions boasts seasoned professionals adept at designing applications and systems on AWS. Through structured guidance in recommended courses, labs, and exams, we nurture aspiring professionals in acquiring AWS certification and advancing their technical expertise.
Our state-of-the-art lab facility, accessible round-the-clock, caters seamlessly to professionals, corporate entities, individuals, and those seeking live project and industrial training. Over the years, we've successfully placed graduates from over 500 registered companies and trained more than 10,000 students and professionals, all now excelling in esteemed roles across various industries. Join Nux Software Solutions to embark on your journey towards AWS excellence in Coimbatore.
Course Introduction, About the Training Architect, About the Exam
Machine Learning Fundamentals, Artificial Intelligence, What Is Machine Learning?, What Is Deep Learning?
Section Introduction, Machine Learning Lifecycle, Supervised, Unsupervised, and Reinforcement, Optimization, Regularization, Hyperparameters, Validation
Section Introduction, Feature Selection and Engineering, Principal Component Analysis (PCA), Missing and Unbalanced Data, Label and One Hot Encoding, Splitting and Randomization RecordIO Format
Machine Learning Algorithms, Section Introduction, Logistical Regression, Linear Regression, Support Vector Machines, Decision Trees, Random Forests, K-Means, K-Nearest Neighbour Latent Dirichlet Allocation (LDA) Algorithm
Deep Learning Algorithms, Section Introduction, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
Model Performance and Optimization, Section Introduction, Confusion Matrix, Sensitivity and Specificity, Accuracy and Precision, ROC/AUC, Gini Impurity, F1 Score
Machine Learning Tools and Frameworks, Section Introduction, Introduction to Jupyter Notebooks, ML and DL Frameworks, TensorFlow, PyTorch, MXNet, Scikit-learn, HANDS-ON LAB Introduction to Jupyter Notebooks (AWS SageMaker), HANDS-ON LAB TensorFlow/Keras Basic Image Classifier (AWS SageMaker), HANDS-ON LAB MXNet Basic Classification (AWS SageMaker) HANDS-ON LAB Scikit-Learn Random Forest Classifier (AWS SageMaker)
AWS Services, Section Introduction, S3, Glue, Athena, QuickSight, Kinesis, Streams, Firehose, Video, and Analytics, EMR with Spark, EC2 for ML, Amazon ML, HANDS-ON LAB Using Kinesis Data Firehose and Kinesis Data Analytics
AWS Application Services AI/ML, Section Introduction, Amazon Rekognition (Images) Part 1, Amazon Rekognition (Images) Part 2 - the API, Amazon Rekognition (Video), Amazon Polly, Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Lex, Amazon Service Chaining with AWS Step Functions, HANDS-ON LAB Trigger an AWS Lambda Function from an S3 Event, HANDS-ON LAB Using AWS Step Functions to Manage a Long-Running Process, HANDS-ON LAB Perform Parallel Execution in AWS Step Functions
Introduction, Section Introduction, What is Amazon SageMaker?, The Three Stages, Control (Console/SDK/Notebooks), SageMaker Notebooks
Build, Data Preprocessing, Ground Truth, Preprocessing Image Data (Pinehead NotPinehead), Algorithms
Train, SageMaker Algorithms - Architecture 1, SageMaker Algorithms - Architecture 2, SageMaker Algorithms - Architecture 3, Training an Image Classifier - Part 1 (Pinehead NotPinehead), Training an Image Classifier - Part 2 (Pinehead NotPinehead), Hyperparameter Tuning
Deploy, inference Pipelines, Real-Time and Batch Inference, Deploy an Image Classifier (Pinehead, NotPinehead), Accessing Inference from Apps, Create a custom API for inference - Part 1 (Pinehead NotPinehead), Create a custom API for inference - Part 2 (Pinehead NotPinehead)
Security, Securing SageMaker Notebooks, SageMaker and the VPC
Other AWS Services, Section Introduction, DeepLens - Part 1, DeepLens - Part 2, DeepRacer - Part 1, DeepRacer - Part 2
The Exam, How to Answer Questions, How to Prepare, PRACTICE EXAM AWS Certified Machine Learning-Specialty (MLS-C01) Final Practice Exam
Thank You
