Fundamentals of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), including both supervised and unsupervised algorithms.
Practical experience in data preprocessing and data visualization using Python.
In-depth understanding of supervised learning, including regression, as well as unsupervised Machine Learning algorithms such as Support Vector Machines (SVM) and K-Nearest Neighbors (KNN).
Exploring the intricacies of Deep Learning techniques, including single and multi-layer Perceptron and Long Short-Term Memory (LSTM).
Introduction to AI and machine learning tools and techniques, covering topics such as simple and multiple linear regressions.
Comprehensive knowledge of neural networks, multilayer perceptron, Back Propagation, and Convolutional Neural Networks (CNN) applications.
Application of advanced research methodologies in Machine Learning and Deep Learning.
This comprehensive Master Program in Data Science & AI is designed to transform individuals into skilled data science professionals, equipped with cutting-edge technical skills and practical knowledge across the most critical domains of modern data science and artificial intelligence.
The program spans nine meticulously crafted modules, offering a holistic journey through the fundamental and advanced aspects of data science and artificial intelligence. Each module is carefully structured to build upon the previous one, creating a seamless learning experience that progressively develops complex technical competencies.
1st Week: SQL and Database
SQL Introduction, Database Management, Query Language, SQL Server, MySQL, Oracle Database.
2nd Week: Python Fundamentals
Python Programming, Data Types, Functions, Exception Handling, Regular Expressions, Modules & Packages.
3rd Week: Data Understanding
Types of Data, Data Extraction, Data Preprocessing, Structured and Unstructured Data.
4th Week: Statistical Analysis
Probability Theory, Central Tendency, Descriptive Statistics, Inferential Statistics, Hypothesis Testing.
5th Week: Machine Learning
Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Time Series Analysis.
6th Week: Deep Learning
Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Image Processing.
7th Week: Natural Language Processing
Text Processing, Sentiment Analysis, NLP Techniques, Machine Learning for NLP, Deep Learning Models.
8th Week: Computer Vision
Image Processing, Object Detection, Image Segmentation, Facial Recognition, CNN Architectures.
8th Week: Capstone Project
Real-world Data Science Project, Recommendation System Development, Algorithm Implementation.
As skilled professionals, we at RankRaze provide 100% Guaranteed Placement Assistance. You stand a great chance of landing your dream job!
The prerequisites for the AI and ML learning course in Chennai typically include a basic understanding of programMLng languages such as Python, knowledge of mathematics and statistics, and faMLliarity with data structures and algorithms.
The AI and ML learning course in Chennai covers a wide range of topics, including machine learning algorithms, natural language processing, computer vision, deep learning, neural networks, data preprocessing, and model evaluation.
The duration of the AI and ML course in Chennai may vary depending on the specific institute or program. However, it usually ranges from 2 to 6 months for full-time courses and can extend further for part-time or online learning options.
Yes, the AI and ML course in Chennai often includes practical projects that allow students to apply their theoretical knowledge to real-world scenarios. These projects help learners gain hands-on experience and enhance their problem-solving skills.
After completing the AI and ML course in Chennai, individuals can pursue various career paths, such as machine learning engineer, data scientist, AI researcher, computer vision specialist, and natural language processing engineer. The demand for professionals in these fields is high, offering promising career opportunities.
Certainly! The Machine Learning course in Chennai follows a unique and hands-on teaching approach. The instructors combine theoretical knowledge with real-world case studies, projects, and practical exercises. This approach helps students gain a deeper understanding of the concepts and how to apply them in real-world scenarios.
Absolutely! The Machine Learning course in Chennai focuses on various industry-specific applications to make the learning experience more relevant and practical. Some of the applications covered may include finance, healthcare, e-commerce, marketing, and autonomous systems like self-driving cars.
The Machine Learning course in Chennai stands out due to its comprehensive curriculum, experienced faculty, and hands-on approach. Moreover, the course is regularly updated to keep up with the latest advancements in the field, ensuring students receive cutting-edge knowledge and skills.
Practical skills in the Machine Learning course are assessed through a combination of assignments, projects, and practical exams. Students are required to work on real-world projects that test their ability to apply machine learning techniques to solve complex problems effectively.
Yes, most reputable institutes providing the Machine Learning course in Chennai offer post-training support and job placement assistance. They may conduct mock interviews, resume reviews, and connect students with potential employers to help them kickstart their careers in the machine learning domain.