India & USA Mapusa · Panjim · Margao · Sanquelim · Pernem · Mysore · Las Vegas +91 93074 02403 info@avanteia.com
+91 93074 02403 info@avanteia.com

Artificial Intelligence Level 1

Artificial Intelligence Track

Artificial Intelligence:
Level 1

4.9 (1,850 reviews)

Advance your AI expertise with intermediate training in model development, data processing, and algorithm optimization. Master Python for AI, supervised and unsupervised learning, NLP, computer vision, and deploy your first ML models with real-world projects.

Created by Avanteia
8,420 Total Enrolled
26 Sep 2026 Last Updated
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Artificial Intelligence Level 1 course in Goa – student building an ML model at Avanteia Mapusa
2 Months Duration
Certificate On Completion
Level-01 Level
10 Modules Syllabus
2 Months Duration
English Language
Certificate Included
Introduction

Overview

This intermediate AI course builds on foundational knowledge to deliver professional skills in model development, data processing, and algorithm optimization. You will master Python for AI, implement supervised and unsupervised learning algorithms, work with NLP and computer vision, and deploy ML models using Flask — all culminating in a capstone project of your choice.

AI Basics Tools Python Projects Logic ML Models
Goal

Learning Outcome

Design and implement intelligent AI solutions using real-time data for automation, predictive analytics, and smart decision-making across industries.

Curriculum

Syllabus

Click any module to expand and view topics and hands-on labs included.

  • What is AI? Types of AI (ANI, AGI, ASI)
  • History & Milestones
  • AI in Daily Life (Examples: Google, Netflix, Alexa)
  • Careers in AI
Hands-on Lab
AI Type Classification Career Path Mapping AI Application Research
  • Python Basics (Variables, Loops, Functions)
  • Data Types, Conditionals, OOP Overview
  • Working with Libraries: NumPy, Pandas
  • File Handling & Basic Visualization (Matplotlib)
Hands-on Lab
NumPy Array Operations Pandas Data Analysis Matplotlib Visualization
  • What is Data? Structured vs Unstructured
  • Data Preprocessing, Cleaning, Normalization
  • Exploratory Data Analysis (EDA)
Hands-on Lab
Data Cleaning Exercise Normalization Demo EDA on Sample Dataset
  • What is ML vs AI?
  • Supervised vs Unsupervised
  • Simple Algorithms: Linear Regression, KNN, Decision Trees
  • Model Evaluation Basics (Accuracy, Precision, Recall)
Hands-on Lab
Algorithm Comparison Model Evaluation Metric Calculation
  • Regression Models: Linear, Logistic
  • Classification Algorithms: SVM, Naive Bayes, Random Forest
  • Model Evaluation Metrics (Confusion Matrix, ROC, F1)
Hands-on Lab
Spam Email Classification ROC Curve Analysis Confusion Matrix Visualization
  • Clustering (K-means, DBSCAN, Hierarchical)
  • Dimensionality Reduction (PCA, t-SNE)
  • Applications in Customer Segmentation
Hands-on Lab
Market Basket Analysis Customer Segmentation PCA Visualization
  • Text Preprocessing (Tokenization, Stop Words, Stemming)
  • Bag of Words, TF-IDF
  • Sentiment Analysis Basics
Hands-on Lab
Twitter Sentiment Analyzer TF-IDF Implementation Text Preprocessing Pipeline
  • Image Representation & Preprocessing
  • Edge Detection, Feature Extraction
  • Intro to CNNs (Conceptual)
Hands-on Lab
Face Detection using OpenCV Edge Detection Demo Feature Extraction Exercise
  • Saving & Loading Models (Pickle, Joblib)
  • Intro to Flask for AI Apps
Hands-on Lab
Deploy ML Model Locally Flask API Creation Model Serialization
  • Choose 1 Project:
    • Customer Churn Prediction
    • Movie Recommendation System
    • Fake News Detection
Hands-on Lab
End-to-End Project Build Model Training & Evaluation Deployment & Documentation
Results

What You Will Learn

ML Model Development

Build and evaluate supervised and unsupervised learning models with proper metrics and validation.

NLP & Computer Vision

Implement text preprocessing, sentiment analysis, and image recognition with OpenCV and CNN concepts.

Model Deployment

Save, load, and deploy ML models locally using Flask and serialization tools like Pickle and Joblib.

Real-World Projects

Complete a capstone project in churn prediction, recommendation, or fake news detection from scratch.

Testimonials

What Our Students Say

"

After completing the AI Beginner course, Level 1 took my skills to a professional level. The supervised learning labs and capstone churn prediction project are exactly what I needed to land my first data analyst role. Avanteia's hands-on approach is unmatched.

Vikram Parsekar Data Analyst, Mapusa
"

I completed the AI Beginner course first and immediately enrolled in Level 1. The NLP and computer vision modules were eye-opening, and deploying my own model with Flask was a huge confidence boost. The 2-month duration is perfect for working professionals.

Sneha Kulkarni ML Engineer, Panjim
"

The unsupervised learning and sentiment analysis labs are incredibly relevant. I used the skills from this course to build a recommendation engine for my company's e-commerce platform. Highly recommended for anyone serious about AI.

Rahul Naik Software Engineer, Margao
FAQ

Frequently Asked Questions

You should have basic Python knowledge and fundamental AI concepts — both covered in our AI Beginner course. No advanced math or prior ML experience is required.

The course runs for 2 months with flexible batch timings at all centers — Mapusa, Panjim, Margao, Sanquelim, Pernem, Mysore and Las Vegas — plus an online mode.

Yes. You receive an industry-recognized certificate on successful completion, verifiable through our online verification portal.

You can progress to Artificial Intelligence Level 2, specialize in Data Science or Machine Learning, or apply for roles such as ML intern, data analyst or junior AI developer.

Ready to Advance Your
AI Career?

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