Internastra | Artificial Intelligence

Basic Course

Foundation Course

Learn AI foundations & build small models

Modules Covered

Introduction to Artificial Intelligence:

What is AI?
History & evolution of AI
Applications of AI in different domains
Types of AI: Narrow, General, Super AI

Intelligent Agents:

Agents & environments
PEAS (Performance, Environment, Actuators, Sensors)
Types of agents: Simple, Reflex, Goal-based, Learning

Problem Solving & Search Techniques:

Problem formulation
Uninformed search: BFS, DFS
Informed search: A*, Greedy search
Heuristics and optimization

Knowledge Representation & Reasoning:

Propositional logic and predicate logic
Inference rules and reasoning
Ontologies and semantic networks

Machine Learning Basics:

Supervised, unsupervised & reinforcement learning
Algorithms: Linear regression, k-NN, decision trees, SVM
Model evaluation: accuracy, precision, recall, F1-score
Overfitting and regularization

Natural Language Processing (NLP):

Text preprocessing: tokenization, stemming, stopwords
Language models and text classification
Sentiment analysis and chatbots (intro)

Deep Learning:

Neural networks basics
CNNs for image processing
RNNs and LSTMs for sequential data
Introduction to frameworks: TensorFlow, PyTorch

Computer Vision (Optional Advanced):

Image classification and detection
Object recognition
Face detection and OCR

Ethics and Future of AI:

Bias and fairness in AI
Data privacy
Explainable AI (XAI)
AI safety and responsible development

Online Pricing details: ₹10000

Offline Pricing details: ₹20000