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Python + AI/ML Advanced Developer Course (6 Months)

πŸš€ Python + AI/ML Advanced Developer Internship (6 Months)

A hands-on, job-oriented internship designed for students, freshers, and beginners to become advanced AI/ML developers. This 6-month program focuses on Python programming, machine learning algorithms, deep learning basics, data preprocessing, model building, and deployment, along with real-world projects and industry-standard workflows to build a strong portfolio and career-ready skills.

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πŸ“˜ Course Details

πŸš€ Python + AI/ML Advanced Developer Internship(6 Months | 24 Weeks | Job-Oriented Internship)

πŸ“˜ Program Overview

A practical, project-driven internship for students, freshers, and beginners to become advanced AI/ML developers. Focuses on Python programming, machine learning, deep learning basics, data handling, model building, deployment, and industry-standard practices.


πŸ“š 6-Month Internship Syllabus (24 Weeks)

Month 1 – Python & Data Handling (Weeks 1–4)

  • Python fundamentals & environment setup

  • Variables, data types & operators

  • Functions, modules & OOP basics

  • Data structures (lists, tuples, dictionaries, sets)

  • File handling & Python packages

  • Introduction to NumPy & Pandas


Month 2 – Data Analysis & Visualization (Weeks 5–8)

  • Data cleaning & preprocessing

  • Exploratory Data Analysis (EDA)

  • Data visualization using Matplotlib & Seaborn

  • Feature engineering & selection

  • Mini-project: Dataset analysis


Month 3 – Machine Learning Fundamentals (Weeks 9–12)

  • Introduction to AI & ML concepts

  • Supervised learning: Regression & Classification

  • Model training, testing, and evaluation

  • Hyperparameter tuning & model optimization

  • Mini-project: Predictive model implementation


Month 4 – Advanced Machine Learning & Deep Learning Basics (Weeks 13–16)

  • Unsupervised learning: Clustering (K-Means, Hierarchical)

  • Dimensionality reduction (PCA, LDA basics)

  • Introduction to Deep Learning (Neural Networks)

  • TensorFlow/Keras fundamentals

  • Advanced ML exercises & mini-project


Month 5 – AI/ML Project Implementation (Weeks 17–20)

  • End-to-end project planning

  • Data collection & preprocessing

  • Model building & testing

  • Model evaluation & improvement

  • Code review & optimization


Month 6 – Deployment & Career Preparation (Weeks 21–24)

  • Model deployment basics (Flask/Django API)

  • Git & GitHub workflow

  • Portfolio & project documentation

  • Resume & LinkedIn profile preparation

  • Mock interviews (Technical + HR)

  • Career guidance & placement support


🎁 Benefits

πŸŽ“ Industrial Internship Certificate

πŸ’Ό One Major AI/ML Project + Mini Projects

πŸ“„ Resume & LinkedIn Profile Support

🎯 Mock Interview Practice

🀝 Free Career Counseling

🧠 Personality Development & Communication Skills

πŸ”§ Git & GitHub Workflow Training

πŸ“š Curriculum

βœ” Basics
βœ” Environment Setup
βœ” Tools Overview
βœ” Hands-on Training
βœ” Real-world Scenarios
βœ” Best Practices
βœ” Industry Projects
βœ” Team Collaboration
βœ” Deployment

🏁 Download Your QTPL Certificate

Get a verified certificate after successful course completion

QTPL Course Certificate

πŸ† Course Completion Certificate

  • βœ… Digitally Verified Certificate
  • βœ… Accepted in Colleges & Universities
  • βœ… Industry Recognized
  • βœ… Shareable on LinkedIn
  • πŸ”₯ Boost Your Resume & Career
πŸš€ Enroll & Get Certified
πŸ”₯ Limited Time Offer

πŸ’° Course Fees

40% OFF

Enroll now & get Live Projects + Certificate + Placement Support

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πŸš€ What You’ll Learn

🧩 Live Projects
πŸ› οΈ Industry Tools
πŸ’» Practical Training
🎯 Placement Support

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