Greetings !!
We have scheduled Internet of Things(IoT), Advanced Data Science, Machine Learning and Deep Learning with python batch on 12th and 13th May and 19th and 20th of May(Saturday and Sunday). This workshop consists of 3 modules.
- Module 1 and 2 scheduled on 12th and 13th May(Saturday and Sunday).
- Module 3 is scheduled on 19th and 20th of May(Saturday and Sunday).
Course Outline:
Module 1: Python Basics
1. Python Introduction
2. Using the Interpreter
· Python's Interactive Prompt
· Scripting
3. Python Scripting
· Comments in Python
· Basic Output Generation
4. Working with Variables in Python
· Python Variables
· Variable References & Garbage Collection
5. Numeric Operations in Python
· Operators
· Operator Precedence
6. Python Compound Statements
· Comparison Operations
· The if Statement
· The if Ternary Expression
· The while Loop
· The for Loop
7. Python String Types
· String Indexing
· String Slicing
· String Iteration
8. Python's Tuples
· Tuples Indexing
· Tuples Slicing
· Tuples Iteration
9. Python's Lists
· List Operations
· List Indexing
· List Slicing
· List Iteration
10. Python Dictionaries
· Assigning Values to Dictionaries
· Dictionary Indexing
· Dictionary Iteration
11. Creating Python Functions
· Defining Functions
· Function Polymorphism
· Argument Defaults
· Lambdas
· Local Variables
12. Classes and Objects
· Introduction to OOP using python
· Classes and class attributes
· Inheritance
Module 2: Internet of Things
13. Arduino
· Arduino Introduction
· Arduino Architecture
· Connect and Detect the Arduino Uno
· Introduction to Arduino IDE
· Structure of an Arduino Sketch
· First program in Arduino and Interfacing Sensors
14. Embedded Linux Basics
· Quick Introduction to Linux Commands
· Building Development Environment
- The four basic elements: Toolchain, Bootloader, Kernel, Root File System
- Configuration, compilation and cross-compiling
15. IoT with Raspberry Pi
· Board Bring up
· Configure Network Setup & Remote access
· Controlling GPIOs
· Interfacing various peripherals including LED, Switch etc.
· Interfacing Camera.
· Installing web-server in Raspberry-pi & accessing it through network
16. Cloud Connectivity, Time Series Data bases & visualization
· IoT Protocols
- MQTT
- COAP
- Websocket
- TCP/UDP
· Connecting Raspberry Pi to cloud
· Put data into cloud
· Developing application to control device via cloud
· Using time Series Data bases
· Visualizing data in cloud
Module 3: Data Science/ Data Analytics, Machine Learning & Deep Learning
Pre-requisite: For this module, participants must have completed IoT with Python training
17. Intro to Data Science
18. Working with arrays & matrix (using numpy)
19. Working with Series & DataFrames
20. Working with Data
21. Data Visualization
22. Statistics Overview
23. Predictive Models
24. Machine Learning
25. More Data Mining and Machine Learning Techniques
26. Recommender Systems
27. Dealing with Real-World Data
28. Experimental Design
29. Deep Learning and Neural Networks
Address:
Levana Technologies,
Neel Residency-2 CHS, Wing G-001,
Plot 34, 48-51, Sector 3, New Panvel, Navi Mumbai.
(Land Mark Opp. Dwaraka Sweets shop) Maharashtra Pin 410206.
With Regards,
Mansi Joshi
Levana Technologies