Course curriculum
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1
Student Guide Book
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Student Guide Book
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Schedule/curriculum Time Table
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2
Live Sessions
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AI_ 1st Live Session_ Apr 5, 2021 07:00 PM
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AI_ 2nd Live Session_ Apr 7, 2021 07:00 PM
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AI_ 3rd Live Session_ Apr 9, 2021 07:00 PM Cancelled
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AI_3rd Live Session_ Apr 12, 2021 07:00 PM
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AI_ 4th Live session_ Apr 13, 2021 07:00 PM
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AI_5th Live Session_ Apr 14, 2021 07:00 PM
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AI_6th Live Session_ Apr 16, 2021 07:00 PM
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AI_6th Live Session_ Apr 17, 2021 04:00 PM
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AI_7th Live Session_ Apr 19, 2021 07:00 PM
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AI_8th Live Session_ Apr 21, 2021 07:00 PM
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AI_9th Live Session_ Apr 22, 2021, 8:00 PM
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AI_10th Live Session_ Apr 26, 2021 07:00 PM
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AI_11th Live Session_ Apr 28, 2021 07:00 PM
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AI_12th Live Session_ Apr 29, 2021 07:00 PM
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AI_13th Live Session_ 03 MAY, 2021 06:00 PM
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AI_14th Live Session_ 04 MAY, 2021 07:00 PM Cancelled
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AI_14th Live Session_ 05 MAY, 2021 06:00 PM Cancelled
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AI_14th Live Session_ May 6, 2021 07:00 PM
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AI_14th Live Session_ May 6, 2021 07:00 PM
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AI_15th Live Session_ May 10, 2021 07:00 PM Cancelled
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AI_15th Session_ May 11, 2021 07:30 PM
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AI_16th Live Session_May 13, 2021 07:00 PM
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AI_17th Live Session_ May 15, 2021 07:00 PM
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AI_18th Live Session_ May 17, 2021 07:00 PM
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AI_19th Live Session_ May 19, 2021 07:00 PM
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AI_19th Live Session_May 20, 2021 07:00 PM
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AI_20th Live Session_ May 21, 2021 07:00 PM
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AI _21st Live Session_ May 25, 2021 07:00 PM
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AI_22nd Live Session_May 29, 2021 06:00 PM
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AI_23rd Live Session_May 30, 2021 06:00 PM
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AI_24th Live Session_ Jun 2, 2021 07:00 PM
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AI_25th Session_Jun 3, 2021 07:00 PM
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AI_26th Session_ Jun 4, 2021 07:00 PM
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AI_27th session_ Jun 11, 2021 07:00 PM
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AI_28th Session_ Jun 12, 2021 07:00 PM
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AI_29th Session_Jun 13, 2021 07:00 PM
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AI_29th Session_ Jun 16, 2021 07:00 PM
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AI _30th Session_Jun 17, 2021 07:00 PM
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AI_31st Session_ Jun 18, 2021 07:00 PM
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AI_32nd Session_Jun 25, 2021 07:00 PM
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AI_33rd Session_Jun 26, 2021 07:00 PM
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AI_33rd Session- Jun 27, 2021 07:00 PM
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AI_35th Session_ Jun 30, 2021 06:00 PM
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3
Major Project
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Major Project
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4
Recorded Session
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AI_1st Session_05-04-2021
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AI_2nd Session_07-04-2021
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AI_3rd Session_12-04-2021
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AI_4th Session_13-04-2021
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AI_5th Session_14-04-2021
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AI_6th Session_17-04-2021
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AI_7th Session_19-04-2021
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AI_8th Session_21-04-2021
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AI_9th Session_23-04-2021
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AI_10th Session_26-04-2021
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AI_11th Session_28-04-2021
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AI_12th Session_29-04-2021
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AI_13h Session_03-05-2021
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AI_14th Session_06-05-2021
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AI_15th Session_11-05-2021
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AI_16th Session_13-05-2021
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AI_17th Session_15-05-2021
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AI_18th Session_19-05-2021
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AI_19th Session_20-05-2021
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AI_20th Session_21-05-2021
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AI_21st Live Session_25-05-2021
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AI_22nd Session_29-05-2021
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AI_23rd Session_30-05-2021 Part-1
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AI_23rd Session_30-05-2021 Part-2
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AI_24th Session_02-06-2021
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AI_25th Session_03-06-2021 Part- 1
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AI_25th Session_03-06-2021 Part- 2
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AI_26th Session_04-06-2021
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AI_27th Session_11-06-2021
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AI_28th Session_12-06-2021
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AI_29th Session_16-06-2021
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AI_30th Session_17-06-2021
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AI_31th Session_18-06-2021
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AI_32th Session_25-06-2021
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AI_33th Session_26-06-2021
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AI_34th Session_27-06-2021
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AI_35th Session_30-06-2021
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AI_36th Session_02-07-2021
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5
Modules for MTA exam :- Module 1: Installing and Starting Python
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1.1: Overview
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1.2: Installing Python
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1.3: Interactive Python
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1.4: Significant Whitespace
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1.5: Python Culture
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1.6: The Python Standard Library
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1.7: Summary
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Installing and Starting Python Slides
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6
Module 2: Scalar Types, Operators and Control Flows
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2.1: Overview
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2.2: Relational Operators
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2.3: Control Flow
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2.4: While Loops
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2.5: Summary
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Scalar Type Operators and Control Flow Slides
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7
Module 3: Introducing Strings, Collections and Iterations
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3.1: Overview
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3.2: String
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3.3: String Literals
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3.4: Bytes
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3.5: List
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3.6: Dictionary
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3.7: For Loop
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3.8: Putting It All Together
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3.9: Summary
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Introducing Strings, Collections and Iterations Slide
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8
Module 4: Modularity
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4.1: Overview
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4.2: Modules
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4.3: Functions
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4.4: Name
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4.5: The Execution Model
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4.7: Docstrings
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4.8: Comments
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4.9: Shebang
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4.10: Summary
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Modularity Slides
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4.6: Command Line Arguments
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9
Module 5: Objects and Types
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5.1: Overview
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5.2: Passing Arguments and Returning Values
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5.3: Function Arguments
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5.4: Python's Type System
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5.5: Scopes
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5.6: Everything is an Object
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5.7: Summary
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Objects and Types
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10
Module 6: Built-in Collections
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6.1: Overview
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6.2: Tuples
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6.3: Strings
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6.4: Ranges
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6.5: Lists
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6.6: Dictionaries
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6.7: Sets
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6.8: Protocols
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6.9: Summary
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Built-in Collections Slides
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Codes for Built-in Collections
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11
Module 7: Exceptions
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7.1: Overview
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7.2: Exceptions and Control Flow
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7.3: Handling Exceptions
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7.4: Exceptions and Programmer Errors
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7.5: Re-raising Exceptions
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7.6: Exceptions and Part of the API
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7.7: Exceptions and Protocols
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7.8: Avoid Explicit Type Checks
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7.9: It's Easier to Ask Forgiveness Than Permission
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7.10: Cleanup Actions
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7.11: Platform Specific Code
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7.12: Summary
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Exceptions Slide
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12
Module 8: Iterations and Iterables
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8.1 Overview
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8.2: List and Set Comprehensions
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8.3: Dictionary Comprehensions
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8.4: Filtering Comprehensions
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8.5: Iteration Protocols
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8.6: Generator Functions
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8.7: Maintaining State in Generators
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8.8: Laziness and the Infinite
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8.9: Generator Expressions
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8.10: Iteration Tools
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8.11: Summary
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Iteration and Iterables Slides
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13
Module 9: Classes
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9.1: Overview
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9.2: Classes
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9.3: Defining Classes
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9.4: Instance Methods
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9.5: Instance Initializers
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9.6: A Second Class
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9.7: Collaborating Classes
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9.8: Booking Seats
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9.9: Methods for Implementation Details
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9.10: Object Oriented Design with Function Objects
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9.11: Polymorphism and Duck Typing
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9.12: Inheritance and Implementation Sharing
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9.13: Summary
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Classes Slides
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14
Module 10: File IO and Resource Managements
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10.1: Overview
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10.2: Opening Files
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10.3: Writing Text
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10.4: Reading Text
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10.5: Appending Text
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10.6: Iterating Over Files
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10.7: Closing Files with Finally
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10.8: With Blocks
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10.9: Binary Files
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10.10: Bitwise Operators
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10.11: Pixel Data
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10.12: Reading Binary Data
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10.13: File-like Objects
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10.14: Context Manager
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10.15: Summary
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IO and Resource Managements Slide
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15
Internship Project 1_NEWS CLASSIFICATIONS
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Part-1
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Part-2
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Part-3
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News-classification
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NEWS CLASSIFICATION WITH NLP
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Data Set_ True and Fake
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16
Internship Project-2_ RECOGNITION OF OBJECTS
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Part- 1
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Part-2
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Part-3
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RECOGNITION OF OBJECTS
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OBJECT RECOGNITION
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17
Internship Project Submission Link
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Internship Project Submission
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