Python + AI/ML Advanced Developer Course (6 Months)
π 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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% Supportπ Course Details
π Python + AI/ML Advanced Developer Internship(6 Months | 24 Weeks | Job-Oriented Internship)
π 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.
π 6-Month Internship Syllabus (24 Weeks)
Month 1 – Python & Data Handling (Weeks 1–4)
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Python fundamentals & environment setup
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Variables, data types & operators
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Functions, modules & OOP basics
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Data structures (lists, tuples, dictionaries, sets)
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File handling & Python packages
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Introduction to NumPy & Pandas
Month 2 – Data Analysis & Visualization (Weeks 5–8)
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Data cleaning & preprocessing
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Exploratory Data Analysis (EDA)
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Data visualization using Matplotlib & Seaborn
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Feature engineering & selection
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Mini-project: Dataset analysis
Month 3 – Machine Learning Fundamentals (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, and evaluation
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Hyperparameter tuning & model optimization
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Mini-project: Predictive model implementation
Month 4 – Advanced Machine Learning & Deep Learning Basics (Weeks 13–16)
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Unsupervised learning: Clustering (K-Means, Hierarchical)
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Dimensionality reduction (PCA, LDA basics)
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Introduction to Deep Learning (Neural Networks)
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TensorFlow/Keras fundamentals
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Advanced ML exercises & mini-project
Month 5 – AI/ML Project Implementation (Weeks 17–20)
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End-to-end project planning
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Data collection & preprocessing
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Model building & testing
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Model evaluation & improvement
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Code review & optimization
Month 6 – Deployment & Career Preparation (Weeks 21–24)
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Model deployment basics (Flask/Django API)
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Git & GitHub workflow
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Portfolio & project documentation
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Resume & LinkedIn profile preparation
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Mock interviews (Technical + HR)
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Career guidance & placement support
π Benefits
π Industrial Internship Certificate
πΌ One Major AI/ML Project + Mini Projects
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
