Course Overview & Syllabus

Enter the cutting-edge era of Artificial Intelligence at Empires Computer Rajkot. This comprehensive AI curriculum takes you from Python programming and foundational Machine Learning to Neural Networks, Natural Language Processing, Large Language Models (LLMs), Prompt Engineering, and Generative AI application development with hands-on practical lab projects.

Course Modules & Detailed Syllabus:

Module 1: Python for AI & Data Foundations

Python Essentials for AI: Object-Oriented Programming, Lambda Functions & List Comprehensions
Mathematical Foundations for AI: Linear Algebra, Statistics, Probability & Calculus Concepts
Data Handling & Manipulation with NumPy Arrays and Pandas DataFrames
Exploratory Data Analysis (EDA) & Data Visualization with Matplotlib & Seaborn

Module 2: Machine Learning Algorithms & Scikit-Learn

Supervised Learning: Linear Regression, Logistic Regression, Decision Trees & Random Forests
Support Vector Machines (SVM), K-Nearest Neighbors (KNN) & Naive Bayes Classifiers
Unsupervised Learning: K-Means Clustering, Hierarchical Clustering & Principal Component Analysis (PCA)
Model Evaluation & Optimization: Cross-Validation, Confusion Matrix, Precision-Recall, ROC-AUC & Hyperparameter Tuning

Module 3: Deep Learning, Neural Networks & Computer Vision

Neural Network Architecture: Perceptrons, Activation Functions (ReLU, Softmax), Forward & Backpropagation
Deep Learning Frameworks: Introduction to PyTorch / TensorFlow & Keras
Convolutional Neural Networks (CNNs) for Image Recognition & Object Detection
Recurrent Neural Networks (RNNs) & LSTMs for Sequential Data and Time Series Forecasting

Module 4: Generative AI, Large Language Models (LLMs) & Capstone Projects

Generative AI & Transformer Architecture (Attention Mechanisms, GPT, BERT)
Advanced Prompt Engineering Techniques (Few-Shot, Chain-of-Thought, System Prompts)
Integrating OpenAI APIs, Claude APIs & Open-Source LLMs (Llama 3, Mistral)
Building Custom AI Chatbots with Retrieval-Augmented Generation (RAG) & Vector Databases
AI Image & Media Generation: Midjourney, Stable Diffusion & DALL-E Workflows
Capstone Real-World AI Project: End-to-End AI Web Application Deployment with Streamlit

Target Audience & Who Should Join

Open for All Learners

Students & IT Professionals wanting an AI competitive edge

Designers, Marketers & Content Creators leveraging generative AI

Entrepreneurs building automated business workflows

Career Opportunities & Job Profiles

High Placement Demand

AI Prompt Engineer

Verified Industry Career Role

Generative AI Specialist

Verified Industry Career Role

Automation Consultant

Verified Industry Career Role

AI Workflow Specialist

Verified Industry Career Role

OFFICIAL DOWNLOADS

Download Course Brochure & Syllabus

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Download the official brochure PDF containing complete syllabus topics, practical training schedule, exam certification details, and student practical work portfolio.

Artificial Intelligence (AI)

Course Overview & Syllabus

Course Modules & Detailed Syllabus:

Module 1: Python for AI & Data Foundations

Module 2: Machine Learning Algorithms & Scikit-Learn

Module 3: Deep Learning, Neural Networks & Computer Vision

Module 4: Generative AI, Large Language Models (LLMs) & Capstone Projects

Target Audience & Who Should Join

Career Opportunities & Job Profiles

Download Course Brochure & Syllabus

Course Details

Juno Morbi Road Branch

Railnagar Branch

Empires AI Counselor