This AI training in Nepal class will teach you how to construct Artificial Intelligence and accelerated computing applications. The course concepts will be explained in a simple language that makes you easy to grasp. Ever since the invention of computers, their ability to perform various tasks grew exponentially. Humans have developed the capacity of computer systems to the next generation level concerning their usefulness in each and every segment of a market, along with their speed and reducing their size as time passed. AI is achieved by studying the thinking process of human brains, how humans learn, decide, and work while trying to find a solution. After learning the course we need to use the results of this study in developing intelligent computers and software. Enroll & Become Certified!
Artificial Intelligence training in Nepal is provided by TechAxis, the No. 1 AI Training Institute in Nepal. Artificial intelligence has existed since humans first began entering automation and related technologies. The Greeks had mythical stories about robots, the Chinese and the Egyptians also had achieved some advancement in this field. AI is continuously advancing at a fast rate as companies are discovering new ways to reap the benefits of this technology to automate processes, increase productivity, and reduce cost.
Over the recent years, this has triggered a substantial increase in the need for Artificial Intelligence certified professionals. However, a student often encounters difficulties while trying to find the best AI (Artificial Intelligence) training in Nepal. The Nepal education market is full of training institutes that provide AI training, but they aren't all reliable. our extended experience in this realm, we provide our students with real-time project-based training that will make you adept at AI, like professionals.
The Future of Artificial Intelligence in Kathmandu appears promising. There are lots of private and governmental organizations in Nepal especially in Kathmandu that have begun using Artificial Intelligence for automating a variety of tasks through machines and devices such as drones, robots, communication intercepting softwares, chatbots it.
Course Outline - Artificial Intelligence
Introduction to Python :
Concepts of Python programming
Configuration of Development Environment
Variable and Strings
Functions, Control Flow and Loops
Tuple, Lists and Dictionaries
Module 2: Data Science Fundamentals :
Introduction to Data Science
Real world use-cases of Data Science
Walkthrough of data types
Data Science project lifecycle
Module 3: Introduction to NumPy:
Basics of NumPy Arrays
Mathematical operations in NumPy
NumPy Array manipulation
NumPy Array broadcasting
Module 4: Data Manipulation with Pandas :
Data Structures in Pandas-Series and DataFrames
Data cleaning in Pandas
Data manipulation in Pandas
Handling missing values in datasets
Hands-on: Implement NumPy arrays and Pandas DataFrames
Module 5: Data Visualization in Python :
Plotting basic charts in Python
Data visualization with Matplotlib
Statistical data visualization with Seaborn
Hands-on: Coding sessions using Matplotlib, Seaborn packages
Module 6: Exploratory Data Analysis :
Introduction to Exploratory Data Analysis (EDA) steps
Plots to explore relationship between two variables
Histograms, Box plots to explore a single variable
Heat maps, Pair plots to explore correlations
Perform EDA to explore survival using titanic dataset
Module 7: Introduction to Machine Learning :
What is Machine Learning?
Use Cases of Machine Learning
Types of Machine Learning - Supervised to Unsupervised methods
Machine Learning workflow
Module 8: Linear Regression :
Introduction to Linear Regression
Use cases of Linear Regression
How to fit a Linear Regression model?
Evaluating and interpreting results from Linear Regression models
Predict Bike sharing demand
Module 9: Logistic Regression :
Introduction to Logistic Regression
Logistic Regression use cases
Understand use of odds & Logit function to perform logistic regression
Predicting credit card default cases
Module 10: Decision Trees & Random Forest :
Introduction to Decision Trees & Random Forest
Understanding criterion(Entropy & Information Gain) used in Decision Trees
Using Ensemble methods in Decision Trees
Applications of Random Forest
Predict passenger survival using Titanic Data set
Module 11: Model Evaluation Techniques :
Introduction to evaluation metrics and model selection in Machine Learning
Importance of Confusion matrix for predictions
Measures of model evaluation - Sensitivity, specificity, precision, recall & f-score
Use AUC-ROC curve to decide best model
Applying model evaluation techniques to Titanic dataset
Module 12: Dimensionality Reduction using PCA:
Unsupervised Learning: Introduction to Curse of Dimensionality
What is dimensionality reduction?
Technique used in PCA to reduce dimensions
Applications of Principle component Analysis (PCA)
Optimize model performance using PCA on SPECTF heart data
Module 13: KNearestNeighbours:
Introduction to KNN
Calculate neighbours using distance measures
Find optimal value of K in KNN method
Advantage & disadvantages of KNN
Module 14: Naive Bayes Classifier:
Introduction to Naive Bayes Classification
Refresher on Probability theory
Applications of Naive Bayes Algorithm in Machine Learning
Classify spam emails based on probability
Module 15: K-means Clustering:
Introduction to K-means clustering
Decide clusters by adjusting centroids
Find optimal 'k value' in K-means
Understand applications of clustering in Machine Learning
Segment hands in Poker data and segment flower species in Iris flower data
Module 16: Support Vector Machines:
Introduction to SVM
Figure decision boundaries using support vectors
Identify hyperplane in SVM
Applications of SVM in Machine Learning
Predicting wine quality using SVM
AI (Artificial Intelligence) Training in Nepal
Artificial Intelligence commonly known as AI is something like machine intelligence. Typically, it is the intelligence demonstrated by machines in contrast to natural language displayed by human and other animals. AI research can be defined as the study of intelligent agent i.e. any device that perceive its environment and take quick decision like human being.
It is the theory and deployment of computer system able to perform task normally associated with human beings and other animals. The example of AI is: Robots, auto running car, Speech recognition. AI system normally take actions as living being. It is the technology which enables developer to build the machine that thinks, act, and react like human being.
Why AI Training ?
Rather than focusing on career options, opportunity, jobs, and salary let’s talk about passion. There is no-one in the world who doesn’t like machine where AI system is applied. If you have interest in building some of the best functional machine with no error, then AI is the thing you have to learn.
Everything in today rsquo;s world is depends on the machine, without this I can’t imagine my life. Can you? Though human itself build these machine but we mankind can’t perform task like machine. They don’t get tired of doing work. All you need to do is just supply power and fuel. Just imagine there is a world where all the machine does the task normally like human beings. Imagine a machine which serves you in every part of your daily life, Life would be too much easy.
Well AI is not about programming and frameworks, it’s about research and how can you develop a problem solving machine using AI. Once you found a solution then there are number of programmer to implement your ideas.
You can build application like traffic control, automating support, automating manufacturing, Fraud Detection, imposing laws without corruption, lie detector, Automatic running vehicle, and many more. Once you develop an application then that can be sold in millions of dollars.
There is a belief that computer will be as smart as human beings by 2040. There are lots of Tech companies who does AI research and take it as very serious note. You can find your career all over the world and make a secure future.
Career opportunity In AI
The career in AI can be realized within a variety of settings including private companies, public organization, education, health, military, and Government organization. Developing a useful application and giving it to your government is the best thing you can do. But working for a private as well as governmental organization is not a bad idea too.