Artificial Intelligence Training Course

The Artificial Intelligence Certification Program is an all-encompassing method of instruction for studying AI, Data Science, Business Analytics, BI, Python programming, and Deep Learning using TensorFlow. After finishing the course, you will be prepared to take on demanding positions in the field of AI.

KVCH's artificial intelligence course covers a wide range of topics, from basic concepts to advanced tools and techniques, and includes hands-on practice with real-world applications. Develop your AI skills with the help of committed instructors and recognised leaders in the field.

In India, many opportunities await you in the field of AI right now. Given the growing need for AI-powered solutions in the business world, this is only expected to rise.

In artificial intelligence, there are a wide variety of skill sets needed, especially for research positions. This is a great time for artificial intelligence businesses since several are receiving their first funding. When they reach critical mass, there will be a severe shortage of talent in this field.

Upon successful completion of the artificial intelligence training program, you are awarded a certificate and master the following skills:

• Basic concepts of Artificial Intelligence
• Understanding artificial neural networks
• Training a neural network using the training data
• Convolutional neural networks and its applications
• TensorFlow and Tensor processing units
• Supervised and unsupervised learning methods
• Machine Learning using Python

Objectives:

• Application of Data Science to Real-World Problems, Data Analysis, and Project Life Cycles
• Programming with Python for Analysing Data
• Analytics, recommender systems, and other Data Science endeavours
• Applications of Natural Language Processing
• Methods for Testing and Implementing Projects
• Visualisation of data using Tableau
• Models for machine learning deployment on the cloud ( MLOps).
• Scalable Data Science with Python's PySpark; Robust Neural Networks with Google's TensorFlow
• Algorithms for machine learning
• Clustering-based segmentation analysis using a predictive method
• Analysing and manipulating data with the help of Microsoft Excel