Artificial Intelligence Courses
Artificial Intelligence is a rapidly evolving field focused on creating smart systems that can learn, analyze data, and make decisions. This course teaches you the core concepts of machine learning, deep learning, and data intelligence using modern AI tools and technologies. Learn through hands-on projects and gain practical experience to build intelligent solutions with confidence.
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Machine learning and AI using Python involve using Python libraries such as scikit-learn and TensorFlow to create algorithms that can make predictions.
- Introduction to Machine Learning
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Neural Networks and Deep Learning
(Data Analytics)
#TCCE02
In Data analytics using Python you learn the use of programming techniques to analyze and interpret large datasets
Data analytics using python is a process of extracting meaningful patterns, trends, and insights from large datasets to solve complex problems.Â
- Data Cleaning and Preparation
- Exploratory Data Analysis
- Data Visualization
- Predictive Modeling
#TCCE03
Machine learning is a combination of Data Analysis, predictions and algorithms based on which a machine can learn to react on particular data.
Machine learning is a subfield of artificial intelligence that uses algorithms to learn from data, identify patterns and make decisions without explicit programming
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Reinforcement Learning
#TCCE03 (Level-1)
Machine learning is a combination of Data Analysis, predictions and algorithms based on which a machine can learn to react on particular data.
Artificial Intelligence is an Intelligence given to particular bot to perform particular task.
- Machine Learning Algorithms
- Natural Language Processing
- Deep Learning Techniques
- Neural Networks
#TCCE04 (Level-2)
- Using LIME techniques to explain individual predictions of machine learning models in an interpretable manner.
- Understanding model pruning to reduce complexity and improve efficiency without significant accuracy loss.
- Optimizing AI models for real-time applications where speed and scalability are critical factors.
- Developing recommendation systems that suggest relevant products or content based on user behavior.
#TCCE05
The R language have very much demand in market because it is widely used among statisticians and data miners for developing.
This course is about Artificial Intelligence & Visualization using R Language. It contains learning basic to advance of Artificial Intelligence & Visualization.
- Learn R Fundamentals
- Programming with R
- Learn Data Analysis & Mining
- Statistical Modeling
#TCCE06
How to manage the Big Data, Separate the different types of file in different location, learning Big Data.
Big data and Hadoop application development involves using the open-source Apache Hadoop platform to process large volumes of data
- Apache Hadoop
- NoSQL Databases
- Data Visualization
- Distributed Storage and Processing