Artificial Intelligence & Machine Learning (AI-ML)
A comprehensive AI & ML course covering foundations, machine learning algorithms, deep learning, NLP, and real-world deployment with Python.
Modules
- What is Artificial Intelligence?
- Types of AI: Narrow, General, and Super AI
- What is Machine Learning?
- AI vs ML vs Deep Learning
- Python Basics & NumPy
- Pandas for Data Manipulation
- Matplotlib & Seaborn for Data Visualization
- Hands-on: Exploratory Data Analysis
- Linear Algebra: Vectors, Matrices, Eigenvalues
- Probability and Statistics
- Gradient Descent and Optimization
- Calculus for ML (Conceptual)
- Linear & Logistic Regression
- Decision Trees and Random Forest
- Support Vector Machines (SVM)
- Model Evaluation: Accuracy, Precision, Recall
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Dimensionality Reduction Techniques
- Introduction to Deep Learning & Perceptron
- Neural Network Architectures
- Activation Functions, Backpropagation
- TensorFlow & Keras Basics
- Text Preprocessing: Tokenization, Stopwords, Lemmatization
- TF-IDF & Word Embeddings
- Sentiment Analysis Project
- Intro to LLMs & Transformers
- End-to-End ML Project Workflow
- Model Deployment with Streamlit/Flask
- Cloud & API Integration
- Capstone Projects + Certification
Industry Insights
95%
Industry Relevance
High
Market Demand
12 LPA+
Avg. Salary
Ready to start learning?
Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
AI & ML Foundations
10 hrsIntro to AI, ML, DL concepts and roadmap
Python for Data & ML
12 hrsNumPy, Pandas, EDA, visualization
Maths for ML
14 hrsLinear algebra, statistics, gradient descent
Supervised Learning
16 hrsRegression, classification, tree models
Unsupervised ML
12 hrsClustering, PCA, dimensionality reduction
Deep Learning
18 hrsNeural nets, TensorFlow, Keras
NLP & Transformers
14 hrsTokenization, embeddings, sentiment analysis
Projects & Deployment
12 hrsEnd-to-end projects, Flask/Streamlit, cloud deploy
Why pursue AI & ML Certification?
- AI/ML is transforming industries from healthcare to finance, robotics to marketing.
- Top companies like Google, OpenAI, Microsoft, and Meta hire AI/ML experts with 2x-3x higher salaries.
- Build intelligent systems: chatbots, recommendation engines, face recognition, and self-driving logic.
- Master core concepts from mathematics to model building, from theory to real-world deployment.
- This course takes you from beginner to expert with projects, certifications, and interview preparation.