Python + AI/ML Industry-Ready Master Program (9 Months)
π Python + AI/ML Industry-Ready Master Internship (9 Months)
A comprehensive, job-oriented internship designed for students, freshers, and aspiring professionals to become industry-ready AI/ML developers. This 9-month program covers advanced Python, machine learning, deep learning, NLP, computer vision, real-world project development, model deployment, and professional workflows, providing extensive hands-on experience to build a strong portfolio and career-ready skills in the AI/ML industry.
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π Python + AI/ML Industry-Ready Master Internship)(9 Months | 36 Weeks | Job-Oriented Internship)
π Program Overview
A comprehensive, project-driven internship for students, freshers, and aspiring professionals to become industry-ready AI/ML developers. Focuses on advanced Python, machine learning, deep learning, NLP, computer vision, real-world projects, deployment, and career preparation.
π 9-Month Internship Syllabus (36 Weeks)
Month 1 – Python Foundations (Weeks 1–4)
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Python setup & environment configuration
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Variables, data types & operators
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Conditional statements & loops
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Functions, modules & OOP basics
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File handling and Python packages
Month 2 – Data Handling & Analysis (Weeks 5–8)
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NumPy & Pandas for data manipulation
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Data cleaning & preprocessing
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Exploratory Data Analysis (EDA)
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Data visualization with Matplotlib & Seaborn
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Mini-project: Dataset analysis
Month 3 – Machine Learning Basics (Weeks 9–12)
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Introduction to AI & ML concepts
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Supervised learning: Regression & Classification
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Model training, testing & evaluation
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Feature selection & model optimization
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Mini ML project
Month 4 – Advanced Machine Learning (Weeks 13–16)
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Unsupervised learning: Clustering & Dimensionality Reduction
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Model improvement & hyperparameter tuning
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Introduction to NLP & text preprocessing
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Advanced ML exercises & project enhancements
Month 5 – Deep Learning Fundamentals (Weeks 17–20)
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Neural Networks basics
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TensorFlow & Keras fundamentals
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Image processing & computer vision basics
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Deep learning model building & testing
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Mini deep learning project
Month 6 – Applied AI & NLP (Weeks 21–24)
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Natural Language Processing (NLP) workflows
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Sentiment analysis & text classification
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Chatbot basics
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AI applications in real-world scenarios
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Mini project: NLP implementation
Month 7 – Computer Vision & Advanced Projects (Weeks 25–28)
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Image classification & object detection
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OpenCV basics & image preprocessing
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Integration with ML/DL models
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Project work: Real-world computer vision application
Month 8 – End-to-End AI/ML Projects (Weeks 29–32)
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Planning and designing AI/ML solutions
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Dataset collection & preprocessing
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Model building, evaluation & optimization
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Integration of multiple AI/ML techniques
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Project review & debugging
Month 9 – Deployment & Career Preparation (Weeks 33–36)
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Model deployment using Flask/Django APIs
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Git & GitHub workflow
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Portfolio & GitHub project upload
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Resume & LinkedIn profile building
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Mock interviews (Technical + HR)
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Career guidance & placement support
πBenefits
π Industrial Internship Certificate
πΌ Multiple AI/ML Projects + Final End-to-End Project
π Resume & LinkedIn Profile Support
π― Mock Interview Practice
π€ Free Career Counseling
π§ Personality Development & Communication Skills
π§ Git & GitHub Workflow Training
π Curriculum
β Environment Setup
β Tools Overview
β Real-world Scenarios
β Best Practices
β Team Collaboration
β Deployment
π Download Your QTPL Certificate
Get a verified certificate after successful course completion
π Course Completion Certificate
- β Digitally Verified Certificate
- β Accepted in Colleges & Universities
- β Industry Recognized
- β Shareable on LinkedIn
- π₯ Boost Your Resume & Career
π° Course Fees
Enroll now & get Live Projects + Certificate + Placement Support
π₯ Limited Time Offer
β³ Offer Ends In: 00d 00h 00m 00s
