TechLaunch 30 is a 30-day structured IT Training & Internship Program designed to help students and aspiring professionals gain industry-relevant skills through 32 hours of guided lessons, hands-on projects, and internship-based learning.
This program focuses on building a strong technical foundation, applying concepts to real-world tasks, and preparing participants for career opportunities in the IT domain.
Curriculum
- 4 Sections
- 34 Lessons
- 30 Days
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- 📅 Week 1: Introduction to Data Science (8 Hours)8
- 1.1Day 1: Orientation + Introduction to Data Science (1hr)
- 1.2Day 2 : Python Basics: Variables, Data Types, Operators (1hr)
- 1.3Day 3: Python Control Structures & Loops (1hr)
- 1.4Day 4: Functions, Lists, Tuples, Dictionaries (1hr)
- 1.5Day 5: Numpy for Numerical Computing (1hr)
- 1.6Day 6: Pandas for Data Handling (1hr)
- 1.7Day 7: Data Cleaning & Preprocessing Techniques (2hrs)
- 1.8Assignment : 1
- 📅Week 2: Data Analysis & Visualization (8 Hours)8
- 2.1Day 8: Exploratory Data Analysis (EDA) – Concepts (1hr)
- 2.2Day 9: Data Visualization with Matplotlib (1hr)
- 2.3Day 10: Advanced Visuals with Seaborn (1 hr)
- 2.4Day 11: Drawing Insights & Data Storytelling (1 hr)
- 2.5Day 12: Mini Project – Perform EDA on Real Dataset (2 hrs)
- 2.6Day 13: Statistics Essentials for Data Science (1 hr)
- 2.7Day 14: Probability Basics (1 hr)
- 2.8Assignment : 2
- 📅 Week 3: Machine Learning Foundations (8 Hours)8
- 3.1Day 15: Introduction to Machine Learning & Workflow (1 hr)
- 3.2Day 16: Supervised Learning – Regression Models (1 hr)
- 3.3Day 17: Supervised Learning – Classification Models (1 hr)
- 3.4Day 18: Model Evaluation Metrics (Accuracy, F1-score) (1 hr)
- 3.5Day 19: Implementing ML Models with Scikit-learn (2 hrs)
- 3.6Day 20: Unsupervised Learning – Clustering Techniques (1 hr)
- 3.7Day 21: Mini ML Project – Predictive Model (1 hr)
- 3.8Assignment : 3
- 📅 Week 4: Generative AI + Internship Tasks (8 Hours)10
- 4.1Day 22: Introduction to Artificial Intelligence & GenAI (1 hr)
- 4.2Day 23: Understanding Large Language Models (ChatGPT, Gemini) (1 hr)
- 4.3Day 24: Prompt Engineering – Writing Effective Prompts (1 hr)
- 4.4Day 25: Using GenAI for Data Analysis & Automation (1 hr)
- 4.5Day 26: Introduction to OpenAI API & Simple Project (1 hr)
- 4.6Day 27: Exploring AI Tools – Canva AI, Notion AI, ChatGPT (1 hr)
- 4.7Day 28: Internship Task – Data + AI Integration Mini Project (2 hrs)
- 4.8Day 29: Internship Project Review & Report Preparation (1 hr)
- 4.9Day 30: Final Evaluation, Feedback & Certification (1 hr)
- 4.10Assignment : 4
