Web Development with PHP & MySQL
Who Should Attend: Students pursuing graduation Pre-requisites: Knowledge of basic …
What you'll learn
• Introduction to PHP
• Decisions and loop
• Function & Array
• Handling Html Forms with Php
• Working with files and Directories
• Session and Cookie
• Database Connectivity with MySql
• Exception Handling
• Project
IoT
Who Should Attend: Students pursuing graduation Pre-requisites: Knowledge in Basic …
What you'll learn
• Introduction to IoT
• Applications of IoT- Use Cases
• The Fundamentals of IoT
• A deep dive into the technologies underlying IoT
• Business opportunities IoT offers
• IoT Solutions
• Deploying IoT Solutions
• Project
Introduction to Cyber Security
Who Should Attend: Students pursuing graduation Pre-requisites: Knowledge of Computer …
What you'll learn
• Fundamentals of Cyber Security and Cyber Security Objectives
• IT & Cyber Security Regulations
• Social Engineering
• Network Security and Mobile Security
• Kali Linux
• Exploitation Techniques
• Hacking Windows & Linux
• Vulnerability Assessment and Fundamentals of Penetration
• Project
R for Data Science
Who Should Attend: Students pursuing graduation Pre-requisites: Knowledge of Basic …
What you'll learn
• Fundamentals of R
• Programming with R
• Loop Functions and Debugging
• Simulating data with R
• Data Inputting in R
• Basic Statistic
• Data manipulation in R
• Statistical Modelling in R
• Projec
Introduction to Data Analytics
Who Should attend: Students pursing graduation Pre-requisites: Knowledge of statistics, …
What you'll learn
Python & Data handling with Python library Pandas, Numpy
• Introduction to Descriptive Statistics
• Introduction to Supervised & Unsupervised Learning
• Data Analytics with Python & R
• Predictive Analytics
• Advanced Excel
• Introduction to Machine Learning
• Data Handling, Data Presentation
• Data Visualisation with Tableau
• Project
Python for AI
Who Should attend: Students pursing graduation Pre-requisites: Knowledge in any …
What you'll learn
Introduction to AI
• Basic of Python and data handling with Python library Pandas,
Numpy
• Introduction to Descriptive Statistics
• Introduction to Machine Learning and Sklearn
• Introduction to Supervised & Unsupervised Learning Algorithms
• Predictive Analysis and transactions Dataset
• Introduction to Supervised Algorithms
• Regression, KNN, Decision tree
• Predictive Analysis Hands-on
• Project
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