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Online Course Futuristic Project Based Learning using AI/ML
Management And Finance

Futuristic Project Based Learning using AI/ML

Futuristic Project-Based Learning using Artificial Intelligence and Machine Learning offers a modern and practical approach to higher education. This learning method allows students to work on real-world projects where they apply AI/ML concepts to design and develop intelligent solutions. By combining theory with hands-on experience, students enhance their analytical thinking, creativity, problem-solving, and research skills. AI-enabled tools provide personalized guidance and instant feedback, making learning more effective and engaging.
Course ModeHybrid
Duration2 Weeks
Starts16 Mar 2026
Ends27 Mar 2026
Course Fee
₹1,000 /-
Registration Closed
About The Course

Overview

“Futuristic Project-Based Learning” represents a modern, forward-looking educational approach that prepares learners for the rapidly evolving world of technology, innovation, and industry demands.
The term ‘Futuristic’ highlights the integration of upcoming trends such as AI, automation, digital transformation, data-driven decision-making, and real-world problem solving.
The term ‘Project-Based Learning’ (PBL) emphasizes learning through hands-on projects, practical implementation, and experience-driven understanding rather than traditional theory-only methods.

Why Opt for This Course?

✅ Learn through real, hands-on projects

✅ Gain future-ready and industry-demand skills

✅ Build creativity, innovation, and problem-solving ability

✅ Improve teamwork, communication, and presentation skills

✅Create portfolio-worthy projects for better career opportunities

✅Experience practical learning instead of memorizing theory

✅ Stay aligned with modern technologies and future trends

Learning Goals

Course Outcomes

  1. Understand basic Python syntax, data types, and variables.
  2. Apply operators, conditional statements, and loops in problem-solving.
  3. Work effectively with lists, strings, tuples, dictionaries, and sets.
  4. Develop modular programs using functions and recursion.
  5. Implement object-oriented programming using classes and objects.
  6. Use Python REPL and scripting for testing and execution.
  7. Explore and utilize Python libraries for AI, automation, and data handling.
  8. Perform numerical and array operations using NumPy.
  9. Build AI-driven applications like text-to-voice, PDF generator, and Jarvis assistant.
  10. Integrate Python programming with introductory AI/ML concepts to solve real-world tasks.
Curriculum

Course / Modules

Day 1: Python Data Types & Variables, REPL

  • Understand basic Python data types (int, float, string, bool).
  • Learn how to create and use variables.
  • Practice Python REPL (interactive mode) for quick testing.

 

Day 2: List, Operators & Conditional Statements

  • Learn to create, modify, and access Python lists.
  • Understand arithmetic, relational & logical operators.
  • Use if-else statements to make decisions in programs.

 

Day 3: Strings, Loops & Mini Project

  • Learn string operations and slicing.
  • Use for and while loops to repeat tasks.
  • Apply loops & strings in a small project.

 

Day 4: Tuples, Dictionary & Sets

  • Understand immutable tuples and their uses.
  • Store key–value pairs using dictionaries.
  • Learn set operations for unique data handling.

 

Day 5: Functions & Recursion

  • Define and call functions to write reusable code.
  • Understand parameters, return values & scope.
  • Learn recursive functions and their applications.

 

Day 6: OOP in Python + Mini Project + Intro to AI/ML

  • Understand classes, objects, constructors & methods.
  • Apply OOP concepts in a Python project.
  • Get an overview of AI, ML, datasets & algorithms.

 

Day 7: AI Project – Text to Voice & PDF Generation

  • Learn to convert text into speech using Python libraries.
  • Generate PDF files with content using Python.
  • Integrate Python automation into a working AI project.

 

Day 8: Jarvis Assistant & Intro to Python Libraries

  • Create a simple voice-based personal assistant (Jarvis).
  • Explore commonly used libraries (OS, Speech, Pyttsx3, etc.).
  • Understand how libraries enhance Python capabilities.

 

Day 9 and Day 10 : NumPy & Project, Python Libraries Deep Dive & Notes Creation

  • Learn NumPy arrays and vectorized operations.
  • Perform mathematical and statistical functions.
  • Build a mini data-processing project using NumPy. Explore advanced libraries (Pandas, Matplotlib, etc.).
  • Understand real-world usage of AI/ML libraries.
Learn From Experts

Our Trainers

Ms Priyanshi Rathore
Ms Priyanshi Rathore
Ms Priyanshi Rathore Python AI/ML & Java developer | CodingChampionsByPriyanshi EDUCATION Master of  Technology in Computer Scienc...
Need More Information?

Contact

Name: VISHAL KADAM

Mobile No: 9826783861

Email: [email protected]