Deep Learning with Python Training

Deep Learning with Python Training in Kathmandu, Nepal

Duration: 1.5 Months Career Option: Data Scientist

We also offer online classes for trainees who cannot attend the classes physically

Deep Learning with Python Training in Nepal

Broadway envisions playing a productive role in the development process of AI by offering courses on Deep Learning with Python programming in Nepal. Deep learning has taken the world by storm for these past few years. It was designed to imitate a human brain, in simple words to find patterns in behavior through neural networks resembling the features of the brain. Deep learning, machine learning or AI has already advanced to the point where intelligent chatbots, self-driving cars, and virtual assistance exist.

As a consequence of Python programming language, which is supposedly a roadmap to deep learning, the world has grown to favor it, including Broadway Infosys Nepal that has been offering job-oriented deep learning with python training in Nepal. This course teaches IT fanatics to use Keras 2.0, the latest version of the python program to contribute their knowledge in the field of Deep learning.

Benefits of Deep Learning with Python Training

Deep learning with python is beneficial for the following reasons.

  • Students can learn AI easily and efficiently using Python.
  • Provides an individual with option to choose between oops approach and scripting.
  • Candidates can achieve the basic concepts of Tensorflow and CNTK.
  • Gives the student a creative enhancement for learning AI
  • Easy to land a job due to the tremendous demand of AI domain experts.
  • Wider career opportunities

Python is easily chosen over other programming languages, for instance, C++ and Java, all thanks to its easily readable and understandable nature. Moreover, for any candidates willing to earn a platform in AI, this course is a stepping stone as it supports deep learning in every way possible. Therefore, please contact us today to learn more about this course which suits you best and earns you key skills.

Benefits of Deep Learning with Python Training at Broadway

Undergoing the course of Deep learning with Python at Broadway benefits you in the following ways.

  • Learn from qualified and exceptional IT experts.
  • Experience the process of learning in a well equipped training lab.
  • Learn at a reasonable cost with the scholarship opportunity.
  • Experience the sessions alongside your professional growth.
  • Assurance of internship opportunities after completing the training.
  • Expand your professional network and ideas.

Broadway Infosys Nepal invites eligible students to join the training sessions on Deep Learning with Python. Enroll your name at the earliest in order to appear in the training routine. Therefore, do it now and do it wisely so you do not have to wait until the next session starts.

Pre-requisites for Deep Learning with Python

It is required for a candidate to have the ability to write a basic program using python and have fundamental concepts of programming before they join the training. We suggest you to have general understanding of artificial intelligence and role of Python in deep learning. Ergo, interested candidates can still join the training on their own accord.

Courses Outline :- Deep Learning with Python Training
  • Environment setup
  • The python programming language
  • What is program?
  • What is debugging?
  • Values and types
  • Variables
  • Variable names and keywords
  • Operators and operands
  • Expressions and statements
  • Interactive mode and script mode
  • Order of operations
  • String operations
  • Comments
  • Debugging
  • Function calls
  • Type conversion functions
  • Math functions
  • Composition
  • Adding new functions
  • Definitions and uses
  • Flow of execution
  • Parameters and arguments
  • Variables and parameters are local
  • Stack diagrams
  • Fruitful functions and void functions
  • Why functions?
  • Importing with from
  • Debugging
  • Modulus operator
  • Boolean expressions
  • Logical operators
  • Conditional execution
  • Alternative execution
  • Chained conditionals
  • Nested conditionals
  • Recursion
  • Stack diagrams for recursive functions
  • Return values
  • Incremental development
  • Composition
  • Boolean functions
  • More recursion
  • Leap of faith
  • Checking types
  • Debugging
  • Multiple assignments
  • Updating variables
  • The while statement
  • Break
  • Debugging
  • For loop
  • A string is a sequence
  • Len
  • Traversal with a for loop
  • String slices
  • Strings are immutable
  • Searching
  • Looping and counting
  • String methods
  • The in operator
  • String comparison
  • Debugging
  • A list is a sequence
  • Lists are mutable
  • Traversing a list
  • List operations
  • List slices
  • List methods
  • Map, filter and reduce
  • Deleting elements
  • Lists and strings
  • Objects and values

 Aliasing  List arguments  Debugging

  • Dictionary as a set of counters
  • Looping and dictionaries
  • Reverse lookup
  • Dictionaries and lists
  • Memos
  • Global variables
  • Long integers
  • Debugging
  • Tuples are immutable
  • Tuple assignment
  • Tuples as return values
  • Variable-length argument tuples
  • Lists and tuples
  • Dictionaries and tuples
  • Comparing tuples
  • Sequences of sequences
  • Debugging
  • Usage
  • Union, Difference
  • Available methods
  • Introduction
  • Exceptions versus Syntax Errors
  • Raising an Exception
  • The AssertionError Exception
  • The try and except Block: Handling Exceptions
  • The else Clause
  • Persistence
  • Reading and writing
  • Format operator
  • Filenames and paths
  • Catching exceptions
  • Databases
  • Writing modules
  • Debugging
  • Introduction, Application and Usage
  • Reader and writer
  • DictReader and DictWriter
  • Simple CSV processing using functional programming
  • Introduction to Pandas
  • DataFrame Data Structure
  • DataFrame Indexing and Loading
  • Querying a DataFrame
  • Indexing Dataframes
  • Manipulating DataFrame
  • Installations
  • Introduction, Application and Usage
  • Basic Structured Query Language
  • CRUID operations
  • Principles of Information Visualization
  • Visualizing Data Using Spreadsheets
  • Matplotlib
  • Plotly
  • Scatterplots
  • Line Plots
  • Bar Charts
  • Histograms
  • Plotting with Pandas
  • User-defined types
  • Attributes
  • Real World Example
  • Instances as return values
  • Objects are mutable
  • Copying
  • Debugging
  • Object-oriented features
  • The self
  • Printing objects
  • The init method
  • The __str__ method
  • Other special methods
  • Operator overloading
  • Type-based dispatch
  • Polymorphism
  • @staticmethod
  • Debugging
  • Introduction
  • Checking callable or not
  • Decorators
  • Creating and using decorators
  • Introduction
  • Example
  • Class attributes
  • Private, Protected and Public
  • Multiple Inheritance
  • Class diagrams
  • Debugging
  • Data encapsulation
  • Installing Git
  • status, log, commit push, pull commands
  • Branch, Tags and Multiple remote concept and Implementation
  • checkout, reset, rebase, merge concept
  • Gitlab vs Github vs Bitbucket
  • Trello, Slack, Jira
  • Advanced Strings, Date & Time
  • Python os, re, sys
  • GUI basics: Tkinter, Tcl/Tk
  • Comprehensions: List, Dictionary
  • CSV, Json, XML, SQLite with Python
  • Jupyter NoteBook
  • Data Streaming using Big Data Technologies like Kafka.

As per the recommendation of students, one of the following projects will be done by the instructor themselves!

  • Web Scraping project (includes handling web scraping tools, proper file handling and implementation of sql)
  • GUI project (any desktop application e.g: calculator, data entry application)
26th Sep, 2021 Sunday
11:00 AM - 12:30 PM
27th Sep, 2021 Monday
06:00 PM - 07:30 PM
24th Oct, 2021 Sunday
11:00 AM - 12:30 PM
25th Oct, 2021 Monday
04:30 PM - 06:00 PM
31st Oct, 2021 Sunday
01:30 AM - 03:00 AM
31st Oct, 2021 Sunday
08:00 AM - 09:30 AM
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It was a great experience with Broadway Infosys to be part of the course. During my period of study, I was able to gain much different knowledge in the related topic and our teacher was also a good ... Read More