What you will learn

• Explore core concepts and foundations of Artificial Intelligence (AI) and Machine Learning (ML), focusing on real-world applications and innovative technologies.
• Tree Traversals Master tree data structures and traversal techniques essential for efficient AI algorithms implementation.
• Uses of Artificial Intelligence Understand diverse applications of Artificial Intelligence across industries like healthcare, finance, and autonomous systems, harnessing its potential for transformative change.
• Artificial Neural Networks (ANN): Dive into neural networks, learning how ANN models are structured for predictive analysis and pattern recognition.
• Autoencoders & Generative AI: Discover cutting-edge AI technologies, emphasizing autoencoders for unsupervised learning and the rise of generative AI.
• Linear & Logistic Regression: Gain practical experience with linear and logistic regression for predictive analytics and classification tasks in data-driven scenarios.
• Clustering & Classification: Develop a strong understanding of essential machine learning techniques like clustering and classification for effective data categorization.
• Recurrent Neural Networks (RNN): Learn the intricacies of RNNs, focusing on sequence prediction and their advanced capabilities in time-series data and natural language processing.
• Become a Competent AI Professional, by the end of this job-oriented AI ML course, you will acquire practical skills to learn AI and machine learning from scratch. You’ll understand the essential steps to learn artificial intelligence and machine learning and delve into deep learning, preparing you for success in today’s competitive tech landscape.

AI and Machine Learning Course Roadmap

Our AI & ML course is designed to provide a deep understanding of Artificial Intelligence and Machine Learning. This 6-month course offers comprehensive training on Python, supervised and unsupervised learning, deep learning, and much more. Whether you are a beginner or an aspiring AI expert, this course is tailored to meet your learning needs and provide hands-on experience with real-world projects.

Month 1: Introduction to AI and ML

Week 1-2: Overview of AI and ML

• Introduction to AI and ML
• Types of AI and ML
• Applications in various industries
• Overview of Python libraries like NumPy, Pandas, TensorFlow

Week 3-4: Python Programming for AI/ML

• Setting up Python environment
• Introduction to data cleaning and preprocessing
• Data manipulation with Python libraries

Month 2: Supervised Learning

Week 1-2: Regression Algorithms

• Linear Regression and Polynomial Regression
• Model Evaluation Techniques

Week 3-4: Classification Algorithms

• Logistic Regression, K-Nearest Neighbors (KNN)
• Support Vector Machines (SVM)
• Model evaluation using confusion matrix, ROC Curve, etc.

Month 3: Unsupervised Learning

Week 1-2: Clustering Algorithms

• K-Means, Hierarchical Clustering
• Dimensionality Reduction using PCA and t-SNE

Month 4: Model Evaluation and Advanced Topics

Week 1-2: Model Evaluation and Tuning

• Cross-validation and Hyperparameter Tuning
• Ensemble Learning: Random Forest, XGBoost, LightGBM

Month 5: Introduction to Deep Learning

Week 1-2: Neural Networks and Perceptron

• Basic Neural Network Concepts
• Introduction to TensorFlow and Keras

Week 3-4: Deep Learning with CNNs and RNNs

• Building CNNs for Image Classification
• Working with Recurrent Neural Networks (RNNs) for time series and NLP

Month 6: Capstone Project and Advanced Techniques

Week 1-2: Capstone Project

• Define a real-world problem (e.g., predictive modeling, image classification)
• Collect and preprocess data
• Build, train, and evaluate a model

Week 3-4: Model Deployment

• Introduction to model deployment with Flask, Streamlit, or TensorFlow Serving
• Final project presentation and documentation

Average Salaries in AI and ML (India)

• Entry-Level: ₹4.5L - ₹6L per annum
• Mid-Level: ₹8L - ₹15L per annum
• Senior-Level: ₹20L+ per annum

Why Learn AI and ML from Code with TLS?

• Expert instructors with hands-on experience in AI/ML
• Real-world projects and capstone project
• Comprehensive course material, covering all levels from beginner to advanced
• Placement assistance and career guidance