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Artificial Intelligence (AI) Training in Nepal

Artificial Intelligence (AI) Training in Nepal

AI, Deep Learning

Mode: Physical & Online Live Classes (Day/Night)
Successful student from Broadway Infosys Mr. Arjan Rayamajhi
Successful student from Broadway Infosys Mr. Apil Thapa

Thousands of students have started their careers after getting certified by Broadway Infosys

Updated On: 04/2026

Created On: 02/2023

Course Overview

Artificial Intelligence (AI) also termed as machine intelligence deals with building of smart machines that has the capacity to perform complicated tasks that normally requires human interference and intelligence.

Artificial Intelligence training refers to the process of teaching AI systems how to perform specific tasks. This involves feeding large amounts of data into the AI system and using algorithms to analyze and learn from that data.

It is accomplished by studying the human brain patterns that results in the development of intelligent software and systems. 

Broadway Infosys offers fully career-oriented Artificial Intelligence (AI) Training in Nepal to help students and professionals acquire skills in computer programming, Robotics, software engineering. 

It is one of the fastest growing fields in computer science industry and is highly beneficial for students in improving their placement prospects. Our Experts provide depth knowledge and guidance on both theoretical and practical basis.

Benefits of Artificial Intelligence (AI) Training

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

Our Student’s Voice

Hear from graduates who have completed our courses.

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Mr. Milan Shrestha

The overall experience was good; the teacher was very friendly and was able to make concepts clear. As for the institute, the management was great, and they were helpful with any queries.
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Dr. Pradeep Pandey

The training provided a strong foundation and practical understanding of AI's applications in the medical sector.
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Ms. Aruna Basaula

I appreciate the way AI is being taught, especially the emphasis on core concepts. The teaching approaches provides the good foundation and well explained.
read more

Success Stories From our Graduates

Hear from graduates who have completed our courses.

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Successful student from Broadway Infosys Mr. Arjan Rayamajhi
Mr. Arjan Rayamajhi
Course: Artificial Intelligence (AI) Training

College/Faculty: Herald College Kathmandu / BIT

Working At: Storm Communications Pvt. Ltd.

Position: Graphics Designer

Successful student from Broadway Infosys Mr. Apil Thapa
Mr. Apil Thapa
Course: Artificial Intelligence (AI) Training

College/Faculty: Islington College / BSc (Hons) Computer Science

Working At: Four Symmetrons Innovation

Position: GenAI - Automation Engineer

Our graduates are hired by 470+ companies in Nepal

Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
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Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!

  • Overview of AI, Machine Learning, and Deep Learning
  • Real-world use cases in industries like healthcare, finance, and e-commerce
  • Installation of Python, Jupyter, Google Colab, and Git

  • Types of data: structured vs. unstructured
  • Handling missing values and outliers
  • Encoding categorical variables and feature scaling
  • Exploratory Data Analysis (EDA) techniques and visualization

  • Linear Regression: theory, implementation, and evaluation
  • Logistic Regression for binary classification
  • Polynomial Regression
  • Model evaluation metrics: MSE, RMSE, R-squared, Accuracy, Precision, Recall
  • Projects in each algorithm

  • Support Vector Machines (SVM): linear and kernel methods
  • K-Nearest Neighbors (KNN): algorithm and distance metrics
  • Naive Bayes: theory, implementation, and use in spam filtering
  • Decision Trees and Random Forests: entropy, information gain, overfitting control
  • Projects in each Algorithm

  • Clustering techniques: K-Means, Hierarchical Clustering, DBSCAN
  • Dimensionality reduction with PCA and t-SNE
  • Anomaly detection and recommendation system with unsupervised models

  • Building a complete machine learning model
  • Deploying ML projects using Streamlit

  • Math essentials: vectors, matrices, activation functions, derivatives
  • Introduction to TensorFlow and Keras for model building

  • Structure and working of neural networks
  • Activation functions, forward and backward propagation
  • Regularization, dropout, and optimization techniques
  • Regression using ANN
  • Classification using ANN

  • CNN architecture and layers
  • Image preprocessing and augmentation
  • Transfer Learning
  • Basics of object detection (YOLO)
  • Image classification Project

  • Text preprocessing: tokenization, stopword removal, stemming, lemmatization
  • Word embeddings (Word2Vec, GloVe)
  • RNNs and LSTMs for sequence modeling
  • Sentiment analysis and Named Entity Recognition (NER)
  • Simple chatbot and text classification project

  • What are LLMs? Overview of GPT, BERT, T5, LLaMA
  • Transformer architecture: self-attention, encoder-decoder models
  • Pretraining vs fine-tuning vs instruction tuning

  • Prompt types: zero-shot, few-shot, chain-of-thought
  • Best practices for crafting effective prompts

  • Hugging Face Transformers and Datasets libraries
  • OpenAI API for text generation
  • LangChain for chaining prompts and workflows
  • Vector search using FAISS and ChromaDB

  • Text summarization and question answering
  • Retrieval-Augmented Generation (RAG)
  • Embedding-based semantic search
  • PDF/CSV/Website Q&A bots using LangChain
  • Chatbot development using LLMs and vector stores
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