AI Job-Ready Syllabus in Nagpur

Transform Your Career with Artificial Intelligence Course at Aspire Computer

From Beginner to Advanced - Complete Machine Learning and AI Learning Path in Nagpur and Hingna

Artificial Intelligence Course Modules - Best AI Training in Nagpur

1

Introduction to AI

  • What is Artificial Intelligence? Explore AI tools and predictive models
  • Types of AI (Narrow AI, General AI, Super AI)
  • AI vs Machine Learning vs Deep Learning
  • Real-world applications of AI in Nagpur's IT industry
  • AI job roles and career paths with placement support
Beginner Friendly
2

Python Programming for AI

  • Python Basics: Variables, Data Types, Operators
  • Control Flow: Conditional Statements & Loops
  • Functions & Error Handling
  • Intermediate Python: OOP, File Handling, Modules
  • AI Libraries: NumPy, Pandas, Matplotlib, Seaborn for machine learning
Foundation
3

Data Analysis & Data Preparation

  • Importing data (CSV, Excel, Web)
  • Data Cleaning & Handling Missing Values
  • Outlier Detection & Feature Engineering
  • Feature Scaling & EDA
  • Descriptive statistics & Data visualization
  • Correlation analysis for AI predictive models
Essential Skills
4

Machine Learning

  • Core Concepts: Supervised & Unsupervised Learning
  • Supervised Algorithms: Linear/Logistic Regression, Decision Trees, Random Forest, SVM, KNN
  • Unsupervised Algorithms: K-Means, Hierarchical Clustering, PCA
  • Model Optimization: Hyperparameter Tuning, Grid Search, Cross-Validation
  • Evaluation Metrics: Accuracy, Precision, Recall, F1, RMSE
Core ML
5

Deep Learning

  • Neural Network Basics: Perceptron, Activation/Loss Functions, Backpropagation
  • Deep Learning Models: ANN, CNN, RNN, LSTM Networks
  • DL Frameworks: TensorFlow & Keras
  • Optional: PyTorch for advanced AI applications
Advanced
6

Natural Language Processing (NLP)

  • Text Preprocessing: Tokenization, Stop Words, Stemming & Lemmatization
  • Vectorization: BoW, TF-IDF
  • NLP Models: Sentiment Analysis, Text Classification, NER
  • Word Embeddings: Word2Vec, GloVe
  • Generative AI: LLMs, Prompt Engineering, RAG basics
  • Building Chatbots with AI tools
Hot Topic
7

Computer Vision (Optional)

  • Image preprocessing
  • Image Classification & Augmentation
  • Object Detection overview (YOLO, SSD)
  • Face Recognition basics
Specialization
8

Deployment & MLOps

  • Saving ML models (Pickle, Joblib)
  • Building ML APIs (Flask / FastAPI)
  • Deployment on AWS, Hugging Face, Render
  • CI/CD basics & Model monitoring for production AI
Production Ready
9

Projects

  • Mini Projects: Spam Email Classifier, Movie Recommendation, Fake News Detection, Stock Market Prediction
  • Major Projects: AI Chatbot, Customer Churn Prediction, Face Recognition Attendance, Image Classification DL Model, RAG-based AI Document Assistant
Portfolio Builder
10

Job Preparation

  • ML & Python interview questions
  • AI project explanation techniques
  • Resume building for AI roles in Nagpur
  • GitHub portfolio design
  • LinkedIn optimization
  • Mock interview practice with 95% placement rate
Career Launch

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