10 Sections
40 Lessons
Lifetime
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Module 1: Introduction to AI & Machine Learning
Understand the fundamentals of Artificial Intelligence and Machine Learning, including real-world applications and industry use cases.
4
1.1
What is AI & ML?
1.2
Types of Machine Learning
1.3
AI Applications
1.4
Industry Overview
Module 2: Python for Data Science
Learn Python programming required for AI/ML, including data structures, functions, and libraries used in data science.
4
2.1
Python Basics
2.2
Data Types & Functions
2.3
NumPy & Pandas
2.4
Data Handling
Module 3: Data Analysis & Visualization
Understand how to analyze and visualize data using Python libraries to extract meaningful insights.
4
3.1
Data Cleaning
3.2
Exploratory Data Analysis (EDA)
3.3
Matplotlib & Seaborn
3.4
Data Visualization Techniques
Module 4: Machine Learning Algorithms
Learn core machine learning algorithms for classification, regression, and clustering.
4
4.1
Supervised Learning
4.2
Unsupervised Learning
4.3
Regression Models
4.4
Classification Algorithms
Module 5: Model Evaluation & Optimization
Understand model performance metrics and techniques to improve accuracy.
4
5.1
Model Evaluation Metrics
5.2
Cross Validation
5.3
Hyperparameter Tuning
5.4
Overfitting & Underfitting
Module 6: Deep Learning
Learn neural networks and deep learning concepts using TensorFlow/Keras.
4
6.1
Neural Networks Basics
6.2
TensorFlow / Keras
6.3
ANN Concepts
6.4
Model Training
Module 7: Natural Language Processing (NLP)
Understand how machines process human language and build NLP-based applications.
4
7.1
Text Processing
7.2
Tokenization
7.3
Sentiment Analysis
7.4
NLP Models
Module 8: Real-Time Projects
Work on real-world datasets and build AI/ML models for practical applications.
4
8.1
Predictive Model Building
8.2
Data Analysis Project
8.3
NLP Project
8.4
Model Deployment Basics
Module 9: Model Deployment
Learn how to deploy machine learning models into real-time applications.
4
9.1
Deployment Concepts
9.2
API Integration
9.3
Model Hosting
9.4
Real-Time Usage
Module 10: Case Studies & Best Practices
Explore industry case studies and best practices for building scalable AI solutions.
4
10.1
Real-World Use Cases
10.2
Industry Scenarios
10.3
Industry Scenarios
10.4
Best Practices
Artificial Intelligence & Machine Learning Training in Hyderabad & Online | Job-Oriented Program with Real-Time Projects
Curriculum
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