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Students who wish to build strong technical skills should enroll,
Students who wish to build strong technical skills
Students who wish to build strong technical skills should enroll,
Students who wish to build strong technical skills should enroll,
Students who wish to build strong technical skills
Students who wish to build strong technical skills should enroll,
Duration: 2 weeks
| This module introduces students to the basic way computers solve problems. Before directly starting coding, students will learn how to think step by step — breaking a big problem into smaller parts, identifying patterns, creating simple algorithms, and representing solutions using flowcharts and pseudocode. |
| ▶ What is computational thinking? | ▶ Decomposition: breaking a problem into smaller steps |
| ▶ Pattern recognition | ▶ Abstraction: focusing only on important details |
| ▶ Algorithms in daily life | ▶ Flowcharts and pseudocode |
| ▶ Basic logic puzzles | ▶ Block-based coding / visual algorithm building |
| ▶ Algorithm for brushing teeth, making tea, or packing a school bag | ▶ Draw flowcharts for daily activities |
| ▶ Solve simple logic puzzles | ▶ Block-based coding for simple animation or movement |
| ▶ Group activity: design a step-by-step solution for a real-life problem |
| ● Explain what an algorithm is |
| ● Break a problem into simple steps |
| ● Draw basic flowcharts |
| ● Think logically before coding |
| ● Understand how computers follow instructions |
| Flowchart Assignment | Logic Puzzle Worksheet | Group Presentation |
| ▮ WEEKLY SUMMARY | ||
Week 1 – Think & Solve Students explore computational thinking, algorithms, and pattern recognition through fun logic-building activities and real-life problem solving. | Week 2 – Visualize & Create Students learn flowcharts, pseudocode, and block-based coding while creating mini projects and visual solutions. | |
Duration: 4 weeks
| This module introduces students to Python programming through hands-on coding activities and mini projects. Students will learn programming basics, logical problem-solving, and how to create simple real-world applications using Python. |
| ▶ Introduction to Programming & Python | ▶ Variables & Data Types |
| ▶ User Input & Output | ▶ Operators & Conditional Statements |
| ▶ Loops & Pattern Printing | ▶ Lists & Dictionaries |
| ▶ File Handling Basics | ▶ Introduction to CSV Files |
| ▶ Create simple Python programs | ▶ Build a calculator and grading system |
| ▶ Develop number games and quizzes | ▶ Practice loops and pattern printing |
| ▶ Store and manage data using lists and dictionaries |
| ● Write basic Python programs |
| ● Use conditions, loops, lists, and dictionaries |
| ● Take user input and display output |
| ● Read and write simple files |
| ● Build beginner-level console applications |
| Weekly Coding Exercises | Python Basics Test | Mini Project: Quiz Game |
| ▮ WEEKLY SUMMARY | ||
Week 3 – Start Coding Students learn Python basics, variables, data types, input/output, and create their first simple programs. | Week 4 – Make Decisions Students explore operators and conditional statements by building grading systems and eligibility checkers. | |
Duration: 2 weeks
| This module teaches students how data is collected, stored, cleaned, and understood. Since AI depends heavily on data, students must first understand the role of data. Trainers should use simple examples: student marks, sports scores, weather data, or school attendance. |
| ▶ Types of Data | ▶ Tables & CSV Files |
| ▶ Basic Data Analysis | ▶ Bar, Line & Pie Charts |
| ▶ Data Visualization | ▶ Introduction to Pandas & Matplotlib |
| ▶ Create classroom surveys | ▶ Organize data in tables |
| ▶ Find averages and highest scores | ▶ Create charts from real data |
| ▶ Analyze school or sports data |
| Student Performance Data Analysis |
| Students create or use a small dataset of marks and attendance. They calculate average marks, highest marks, lowest marks, and create simple charts to visualize the results. |
| ● Understand what data is |
| ● Read simple tabular data |
| ● Perform basic analysis |
| ● Create simple charts |
| ● Understand why data is important for AI |
| Data Worksheet | Chart-Making Activity | Mini Project Submission |
| ▮ WEEKLY SUMMARY | ||
Week 7 – Explore Data Around You Learn how data is collected, stored, and organized through fun classroom examples and surveys. | Week 8 – Visualize & Analyze Create charts, find patterns, and use Python tools to turn data into meaningful insights. | |
Duration: 2 weeks
| Students explore the basics of Artificial Intelligence and Machine Learning through fun hands-on activities. They will learn how computers can learn from data and make predictions without being directly programmed. |
| ▶ Introduction to AI & Machine Learning | ▶ Training Data & Predictions |
| ▶ Classification Basics | ▶ Model Accuracy |
| ▶ Image Recognition | ▶ Simple Decision-Tree Concepts |
| ▶ Compare rule-based vs ML-based programs | ▶ Classify fruits based on color and size |
| ▶ Train image classifier using Google Teachable Machine | ▶ Test model with new images |
| ▶ Discuss why models make mistakes |
| Image Classifier for Environment |
| Students collect images of objects (leaves, plastic waste, paper, bottles). They train a simple model using a no-code tool, then test and evaluate its accuracy. |
| ● Explain machine learning in simple words |
| ● Understand training and testing |
| ● Build a basic image classifier |
| ● Understand that AI learns from data |
| ● Identify mistakes and limitations of AI models |
| Oral Explanation of ML | Image Classifier Demo | Short Reflection Write-up |
| ▮ WEEKLY SUMMARY | ||
Week 9 – Introduction to AI & ML Learn how machines learn from examples, make predictions, and recognize patterns using real-life activities. | Week 10 – Train Your Own AI Model Build and test a simple image classifier while exploring how AI models learn and make decisions. | |
Duration: 2 weeks
| Students explore how AI is used in daily life through chatbots, voice assistants, recommendation systems, and smart tools. They will also create simple AI-based projects using no-code tools and Python logic. |
| ▶ Real-Life Applications of AI | ▶ Chatbots & Virtual Assistants |
| ▶ Recommendation Systems | ▶ Image & Voice Recognition |
| ▶ Introduction to Neural Networks | ▶ No-Code AI Tools |
| ▶ Python-Based AI Logic |
| ▶ Identify AI tools used in daily life | ▶ Build a simple chatbot flow |
| ▶ Use Teachable Machine for voice/image recognition | ▶ Create a rule-based chatbot in Python |
| Python Chatbot |
| Students create a simple chatbot answering questions about a school subject or topic. The first version uses if-else logic; advanced students add lists, dictionaries, or simple text matching. |
| ● Identify AI in daily life |
| ● Explain common AI applications |
| ● Build a basic chatbot |
| ● Understand rule-based vs AI-based systems |
| Chatbot Demo | AI Use-Case Presentation | Code & Logic Review |
| ▮ WEEKLY SUMMARY | ||
Week 11 – Discover AI Around You Explore real-world AI tools like chatbots, voice assistants, and recommendation systems through interactive activities. | Week 12 – Build Your Own AI Assistant Create and test a simple chatbot using Python and no-code AI tools while learning how AI systems respond to users. | |
Duration: 1 Week
| Students learn how to use AI safely, responsibly, and ethically. Through discussions and real-life examples, they will understand privacy, bias, misinformation, and the importance of responsible AI use. |
| ▶ Responsible AI | ▶ AI Bias & Fairness |
| ▶ Privacy & Personal Data | ▶ Deepfakes & Fake Content |
| ▶ Misinformation | ▶ Copyright & Plagiarism |
| ▶ Safe Use of AI Tools |
| ▶ Debate on AI in exams | ▶ Identify fake vs real content |
| ▶ Discuss AI safety case studies | ▶ Create classroom AI safety rules |
| ▶ Group discussion on ethical AI use |
| ● Use AI tools responsibly |
| ● Protect personal information online |
| ● Identify biased or fake AI content |
| ● Think critically about AI-generated outputs |
| Group Discussion | Reflection Activity | Responsible AI Poster |
| ▮ WEEKLY SUMMARY | ||
Week 13 – Be Smart & Safe with AI Students explore ethical AI use, online safety, misinformation, and learn how to use AI tools responsibly in everyday life. | ||
Duration: 1 Week
| This module introduces students to creative uses of AI for story writing, idea generation, image creation, and digital content creation. The trainer should clearly explain that AI is a helper, not a replacement for human creativity. |
| ▶ Introduction to Generative AI | ▶ Text Generation Tools |
| ▶ Image Generation Tools | ▶ Prompt Writing Basics |
| ▶ Improving Prompts Step by Step | ▶ AI for Story Writing |
| ▶ AI for Poster/Idea Generation | ▶ Online Safety with Creative Tools |
| ▶ Write prompts for a story | ▶ Generate a story idea and improve it manually |
| ▶ Create an AI-assisted poster concept | ▶ Compare weak prompts vs. strong prompts. |
| ▶ Group activity: AI story or digital poster |
| AI Art or Story Generator Activity |
| Students create a short story, poster idea, or illustration using an AI tool. They must explain their prompt, changes made, and the final result. |
| ● Write simple prompts |
| ● Use AI tools creatively |
| ● Improve AI output through better instructions |
| ● Understand ethical use of AI-generated content |
| ● Present creative work confidently |
| Prompt Writing Task | Creative AI Project | Short Presentation |
| ▮ WEEKLY SUMMARY | ||
Week 14 – Create with AI Students use AI tools to generate stories, posters, and creative ideas while learning prompt writing and responsible digital creativity. | ||
Duration: 1 Week
| Students explore the exciting world of smart devices, sensors, robotics, and IoT through fun real-life examples. They learn how coding and AI are used in smart homes, robots, and everyday technology. |
| ▶ Introduction to IoT & Robotics | ▶ Sensors & Smart Devices |
| ▶ Input, Processing & Output | ▶ Rule-Based Automation |
| ▶ Smart Home Concepts | ▶ AI in Physical Devices |
| ▶ Create smart fan and smart light logic | ▶ Explore sensor-based automation |
| ▶ Build simple smart home simulations | ▶ Gesture-based activities using micro:bit (if available) |
| Smart Home Simulator |
| Students create a Python-based smart home system using conditions and automation logic to control virtual smart devices. |
| ● Understand IoT and sensors |
| ● Create simple automation logic |
| ● Connect coding with real-world devices |
| ● Explore AI in smart technologies |
| Smart Home Logic Worksheet | Simulator Demo | Group Explanation Activity |
| ▮ WEEKLY SUMMARY | ||
Week 15 – Build Smart Technologies Students learn how smart devices, sensors, and automation work by creating fun IoT and robotics-based mini projects. | ||
Duration: 1 Week
| In the final module, students explore exciting career opportunities in AI and technology while improving communication, teamwork, and presentation skills. The course concludes with a final project showcase and student presentations. |
| ▶ Careers in AI & Technology | ▶ Python, Data & AI Roles |
| ▶ Robotics & Cybersecurity Awareness | ▶ Teamwork & Communication Skills |
| ▶ Presentation Skills & Growth Mindset | ▶ Final Course Revision |
| ▶ Career exploration activity | ▶ Final project preparation and rehearsal |
| ▶ Peer feedback sessions | ▶ Mock presentation practice |
| ▶ Certificate ceremony planning |
| ● Present projects confidently |
| ● Work effectively in teams |
| ● Explain technical ideas simply |
| ● Explore career opportunities in technology |
| ● Build confidence in AI and coding skills |
| Final Project Demo | Presentation & Viva | Trainer & Peer Feedback | Certificate Evaluation |
| ▮ WEEKLY SUMMARY | |||
Week 16 – Showcase & Celebrate Students present their final projects, receive feedback, explore career paths in technology, and celebrate their coding journey. | |||
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
Career certifications validate expertise in a specific field, enhancing credibility and job prospects. Investing in relevant certifications can set you apart in a competitive job market. Let me know if you need recommendations!
This course introduces students to Artificial Intelligence, Python programming, problem-solving, and real-world AI applications using hands-on projects and no-code tools.
Students from Class 8, 9, and 10 with basic computer knowledge.
No prior programming experience is required.
Students will learn:
Yes, a laptop or desktop with internet access is recommended for coding and AI model training.
Not at all.
We use a step-by-step, beginner-friendly approach with simple examples and guided practice.
No.
The course starts from zero level and gradually moves to intermediate topics.
Students will learn Python, the most popular and easiest language for AI and programming.
We use:
Students create fun and real AI projects such as:
Yes. A certificate is awarded after completing all modules and the final project.
A 180+ hour CBSE-aligned Python and AI Game Development program where students build 12+ games, learn AI algorithms, develop creative logic, and prepare a strong portfolio for engineering college admissions.
Senior Full Stack Developer with 10+ years of extensive experience in designing, developing, and deploying scalable web applications across modern tech stacks. Skilled in leading projects, mentoring teams, and delivering high-quality solutions.
Full Stack Developer and Instructor with 5+ years of experience, specializing in Web Development, Python, SQL, Django, React, and Git/GitHub. Focused on practical, industry-based training to make learners job-ready.
Full Stack Developer & Trainer with expertise in modern web technologies and hands-on project development, dedicated to helping learners become job-ready.
MCA graduate and Junior Software Developer with 5+ years of IT industry experience, skilled in building modern applications and delivering efficient technical solutions.
BA English Honor's : MBA HR and Marketing 4 Year Experience in IT Recruitment & Talent Acquisition
