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Artificial Intelligence (AI) Training

AI Deep Learning using Python

Duration: 3 Months Career Option: AI Programmer

Artificial Intelligence (AI) Training in Nepal

Artificial Intelligence (AI), also referred to as machine intelligence, seems more and more like a portal to a revolution as each day goes by. The revolution, where Siri and Cortana might speak for human rights and civilization as well as serving advises which would best ours.

However, it is up to the generations to come and cultivate the seeds of powerful/efficient AI tools and techs. Broadway Infosys has launched the Artificial Intelligence Training in Nepal with the same vision in mind to empower Nepalese manpower and experts in the field. Profitable AI courses in Nepal are very limited. Broadway being one the very best IT establishments in the country will help you see through the weight. We run our classes with very trusted and professional experts, who provide guidance on theoretical and practical knowledge as well as share their experience and challenges in the work field. This course gives any individual an excellent view of developing artificial intelligence.

Benefits of Artificial Intelligence Training in Nepal

AI training in Nepal rewards an individual with the following talents

  • Provides the variety of scope and job roles such as computer programmer, Robotics, software engineer etc.
  • Applications of AI assets in fields like education, healthcare, finance, aviation and marketing etc.
  • Learn to create productive tools such as smart reply, autonomous driving, toxicity detection, mitosis detection etc.
  • Learn to understand tenser flow algorithms.
  • Provides depth knowledge about neural networks and robot locomotion.
  • Gives creativity and the intelligence a great boost.

Benefits of Artificial Intelligence Training at Broadway Infosys

One careful choice you make gives a bigger picture. So, here are the reasons why choosing Broadway is a careful choice.

  • A chance to learn from highly experienced professional experts.
  • Tools and technologies equipped are by far advanced.
  • Provides the course at the reasonable price
  • Scholarships available for deserving /students.
  • Guaranteed internship for deserving students after completing the training
  • Regular assignments are given to test the capability of a student.
  • Counseling is offered in order to keep students encouraged.
  • Opportunity to be a part of a friendly learning environment.
  • Project Work at the end of training session

Pre-requisites for Artificial Intelligence (AI) Training

Candidates aspiring to be AI developers are required to have knowledge of the algorithm and basic mathematics. Further, an individual having interest in modern technology has an additional advantage. Nonetheless, Broadway admires anybody who wants to have a career in deep learning and welcomes them to take the training.

Courses Outline :- Artificial Intelligence (AI) Training
  • Getting Started with Python
  • Environment setup
  • The Python programming language
  • Applications Area
  • Variables
  • Variable names and keywords
  • Operators and operands
  • Expressions and statements
  • Interactive mode and script mode
  • Order of operations
  • String operations
  • Comments
  • Debugging
  • Type conversion functions
  • Math functions
  • Composition
  • Adding new functions
  • Definitions and uses
  • Flow of execution
  • Parameters and arguments
  • Len
  • Traversal with a for loop
  • String slices
  • Strings are immutable
  • Searching
  • Looping and counting
  • String methods
  • The in operator
  • String comparison
  • Debugging
  • Looping and dictionaries
  • Reverse lookup
  • Dictionaries and lists
  • Memos
  • Global variables
  • Long integers
  • Debugging
  • Tuples as return values
  • Variable-length argument tuples
  • Lists and tuples
  • Dictionaries and tuples
  • Comparing tuples
  • Reader and writer
  • DictReader and DictWriter
  • Simple CSV processing using functional programming
  • Attributes
  • Real World Example
  • Instances as return values
  • Objects are mutable
  • Copying
  • Debugging
  • The self
  • Printing objects
  • The init method
  • The __str__ method
  • Other special methods
  • Operator overloading
  • Type-based dispatch
  • Polymorphism


  • Introduction to Deep Learning
  • History
  • Why is Deep Learning taking off?
  • Applications of Deep Learning
  • Neural Network Basics
  • How do Neural Networks work?
  • How do Neural Networks learn?
  • Backpropagation
  • The Activation Function
  • Gradient Descent
  • Stochastic Gradient Descent
  • Vectorization
  • Hyper-parameter Tuning
  • Batch Normalization 
  • Business Problem Description
  • Anoconda
  • Tensorflow
  • Pytorch
  • Keras
  • Theano


  • Foundations of Convolutional Neural Network
  • CNN Architecture
  • Convolution Operation
  • ReLU Layer
  • Pooling
  • Flattening
  • Full Connection
  • Summary
  • Softmax & Cross-Entropy
  • How to get the dataset(Kaggle, DarkNet)

Project 1: Image Classification

  • Introduction to Open CV
  • Haar-like Features
  • Different Types of Filter
  • Training Classifiers
  • Adaptive Boosting (Adaboost)
  • Cascading

Project 2: Face Detection

  • The Idea Behind GANs
  • How Do GANs Work?
  • Generator
  • Discriminator
  • Generative Adversarial Networks Representation
  • Mathematical Details About GANs
  • Applications of GANs

Project 3: Image Creations with GAN(Optional)

  • Len
  • Traversal with a for loop
  • String slices
  • Strings are immutable
  • Searching
  • Looping and counting
  • String methods
  • The in operator
  • String comparison
  • Debugging
  • Introduction to Sequence Model
  • Recurrent Neural Network(RNN)
  • Encoder
  • Decoder
  • GRU
  • Bidirectional RNN
  • Deep RNN
  • LSTM
  • Introduction to NLP
  • Sequence to Sequence Models
  • ·Sequence to Sequence Models Architecture
  • Speech Recognition
  • Natural Language Understanding
  • Natural Language Generation
  • ·Attention mechanism

Project 4 : Create a Chatbot or LSTM-Sentiment Analysis

  • Foundations of Reinforcement Learning
  • Value-Based Methods
  • Policy-Based Methods
  • Why GPU is needed?
  • Google Cloud Platform
  • Amazon Web Serves
  • FloydHub
  • GPU Hardwares
  • Alpha Go
  • Self-Driving Car
  • IBM Watson
  • Amazon Alexa
  • Face Book Artificial Intelligence
  • Google Deep Mind

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