Cyber Security with AI, Data Science and Blockchain

Data Science is a core software development skill where Deep Learning is the heart. Data Analytics is the pre-processing activities of Data Science. The preprocessed data is generally used for Machine Learning Modelling. The time taken to run Data Science tasks are critical, When that concerned for huge amount of data to be processed to generate some significant information for decision making. Thus generally Data Science works with Big Data Analytics as well. These skills are generally needed together to make any important usecase completion. Deep Learning is a kind of automated Machine Learning. That means the preprocessing activities are not planned as a predecessor step. However the sampling, featurisation and vectorization are inherent process like automated machine learning in Deep Learning. Cyber Security has two parts in it. Detecting threats and anomalies using AI techniques and fix the issues adopting Blockchain.

Technologies

Advanced Python Programming (2 Months)

Complete Python programming with Advanced features like Django programming, Visualization using Seaborn and matplotlib graphs, Data re-shaping with Numpy and Pandas.

Machine Learning, SciKit Learn (2 Months)

Machine Learning Libarary that supports, Regression, Logistic Regression, Classification, Clusterig, Decision Tree, Random Forest, Statistical algorithms and probability distributions.

Deep Learning, TensorFlow and Keras (2 Months)

The number one choice of programmers to implement the Deep Learning Use cases. Direct acyclic Graphs are used to store the relationships. Python based Deep Learning extension over Tensorflow. Keras is widely used for Neural network topology planning, training and execution. CNN, RNN, LSTM and other advanced artificial nueral network use cases can be implemented using Keras Easily.

Cyber Security with Blockchain (4 Months)

Blockchain, Ethereum, Proof of work, Proof of Authority, Permissioned Blockchain, Private Consortium, Hyperledger, AWS Blockchain nodes and mining, Fraud detection, Anomali detection, Network Analysis for vulnerability, AI Chains with Blockchain, Security filtering

Cloud Computing (2 Months)

AWS hosting, Regiions and Zones, Availablity Group, Load Balancing, Docker, Kubernetes, ESB, S3 Bucket, AMI Security configuration, RDS, MongoDB etc.

Expertzlab Data Science course in Kochi contains all the industry required contents and all of them will be implemented in the class with appropriate project use cases. Students will have immense experience in writing code and thus this Data Science training program is a easy gateway to an IT Job as Software Developer.