Course Details

AI & ML

IT


Provider Name             :    GlobalOne Services

Course Type               :    Hybrid

Duration (Hrs)             :    90

Hours/day                 :    3

Training Type             :    Hybrid

Certification               :    yes

Orginal Price               :    25000/-

Discount Price             :    20000/-

No.of. vacancies         :    500

Last date to apply     :      2024-10-31


Full Information

Course Description

Python has become one of the most popular programming languages for Artificial Intelligence (AI) and Machine Learning (ML) due to its simplicity, readability, and a rich ecosystem of libraries and frameworks. Python dominance in AI and ML is evident in its widespread adoption across academia, research, and industry. Its continuous growth and updates ensure that it remains at the forefront of technology advancements in artificial intelligence and machine learning.

Topics to be covered

Module 1: Introduction to Python.

Module 2: Python basics.

Module 3: Control Flow

Module 4: Lists, Tuples, Dictionaries and Sets.

Module 5: Exception Handling

Module 6: Object – Oriented Programming (OOPS)

Module 7: Introduction to libraries and Data Science with pandas, Matplotlib

Module 8: Introduction to AI and ML, Data Preprocessing and Exploratory Data Analysis.

Module 9: Supervised Learning

Module 10: Unsupervised Learning and Advanced Topics

Module 11: Natural Language Processing (NLP) and Image Processing

Module 12: Final Project and Introduction to Deep Learning

Benefits of Course

Natural Language Processing (NLP):Python is widely used in NLP applications such as chatbots, sentiment analysis, language translation, and information extraction. Computer Vision:Python, along with frameworks like OpenCV and deep learning libraries, is used for image and video analysis, object detection, facial recognition, and autonomous vehicles. Speech Recognition:Python is employed in developing applications for speech-to-text, voice assistants, and other speech-related tasks. Recommendation Systems:Python is commonly used for building recommendation systems in e-commerce, streaming services, and other platforms. Fraud Detection:Python is employed in developing machine learning models for detecting fraudulent activities in finance, online transactions, and cybersecurity. Automated Machine Learning (AutoML):Python facilitates the development and implementation of automated machine learning tools and frameworks, making it easier for non-experts to leverage machine learning.

Pre-Requirements

None