15
Modules
Verified
Hands-on Lab
Certificate
What You Will Master
In-Depth Foundation
Build strong core fundamentals matching industry level standard expectations.
Hands-on Projects
Work on mock design patterns and complex assignments for active practice.
Study Materials
No study materials available for this course at the moment.
Course Overview
Detailed description goes here.
Eligibility Criteria
Candidates with 10+2 qualification with minimum 50% marks from a recognized board.
Admission Process
Direct merit-based admission or common institutional admission entrance test.
Detailed Curriculum Roadmap
15 Modules- Introduction to AI
- History of AI
- Types of AI
- Applications of AI
- AI vs Machine Learning vs Deep Learning
- AI Development Tools
- AI Ethics
- Future of AI
- Python Basics
- Variables & Data Types
- Operators
- Conditional Statements
- Loops
- Functions
- Modules & Packages
- File Handling
- Exception Handling
- Object-Oriented Programming
- Linear Algebra
- Matrices
- Vectors
- Probability
- Statistics
- Calculus Basics
- Optimization
- Gradient Descent
- Data Collection
- Data Cleaning
- Missing Values
- Outlier Detection
- Feature Engineering
- Feature Scaling
- Data Normalization
- Train-Test Split
- NumPy Arrays
- Array Operations
- Mathematical Functions
- Pandas Series
- DataFrames
- Data Manipulation
- Data Analysis
- Data Transformation
- Matplotlib
- Seaborn
- Line Chart
- Bar Chart
- Histogram
- Scatter Plot
- Heatmap
- Box Plot
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Model Training
- Model Evaluation
- Bias & Variance
- Cross Validation
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machine (SVM)
- Naive Bayes
- K-Nearest Neighbors (KNN)
- Clustering
- K-Means
- Hierarchical Clustering
- DBSCAN
- PCA
- Dimensionality Reduction
- Association Rule Learning
- Artificial Neural Networks (ANN)
- Perceptron
- Activation Functions
- TensorFlow
- Keras
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Introduction to NLP
- Text Processing
- Tokenization
- Stemming
- Lemmatization
- Word Embeddings
- Sentiment Analysis
- Chatbots
- Introduction to Computer Vision
- Image Processing
- OpenCV
- Object Detection
- Face Recognition
- Image Classification
- OCR
- Video Analysis
- Introduction to Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Transformers
- Hugging Face
- OpenAI APIs
- Model Deployment
- Flask
- FastAPI
- Streamlit
- Docker
- Git & GitHub
- MLflow
- Cloud Deployment
- AI Chatbot
- Image Classification System
- Face Recognition System
- Sentiment Analysis Project
- Recommendation System
- AI Virtual Assistant
- Resume Building
- Portfolio Development
- Interview Preparation
- Capstone Project
Syllabus Designers & Instructors
Our high-fidelity premium courses are curated and kept industry-updated by a globally accredited team of technical experts and corporate mentors.
Dr. Anjali Sharma
Ex-IIT Professor, Researcher
Arvind Krishnan
Principal Software ArchitectAdmission Window Open
70,000
Transparent Course Tuition Fee
Key Enrollment Features
- Shareable Certificate on success
- Interactive doubt session support
- Lifetime access to syllabus materials
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