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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
Timeline: Week 1 to Week 2
This module introduces students to the basic way computers solve problems. Before directly starting coding, students will learn how to think step by step. They will understand how to break a big problem into smaller parts, identify patterns, create simple algorithms, and represent solutions using flowcharts and pseudocode.
This module is very important because coding is not only about writing syntax. It is mainly about solving problems logically.
Students will learn:
By the end of this module, students should be able to:
Duration: 4 weeks
Timeline: Week 3 to Week 6
This module introduces students to Python programming. Python is selected because it is simple, beginner-friendly, and widely used in AI, data science, automation, and web development.
Students will start from the basics and slowly move toward writing small programs. The trainer should focus on practical coding rather than only theory. Every concept should be followed by small exercises.
| Week | Topics Covered | Activities / Practical Tasks |
| Week 3: Introduction to Python |
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| Week 4: Operators and Conditions |
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| Week 5: Loops and Repetition |
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| Week 6: Lists, Dictionaries and File Handling |
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By the end of this module, students should be able to:
Duration: 2 weeks
Timeline: Week 7 to Week 8
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.
The trainer should use simple examples such as student marks, sports scores, weather data, school attendance, favorite food surveys, or classroom poll results.
Student Performance Data Analysis
Students will create or use a small dataset of marks and attendance. They will calculate average marks, highest marks, lowest marks, and create simple charts.
Students should be able to:
Duration: 2 weeks
Timeline: Week 9 to Week 10
This module introduces students to machine learning in a simple and practical way. Students will understand that machine learning means teaching computers using examples instead of giving fixed rules for every situation.
The trainer should avoid heavy mathematics. The focus should be on concepts, examples, and hands-on activities.
Image Classifier for Environment
Students will collect images of objects such as leaves, plastic waste, paper, bottles, or classroom objects. They will train a simple model using a no-code tool and test its accuracy.
Students should be able to:
Duration: 2 weeks
Timeline: Week 11 to Week 12
This module helps students understand how AI is used in real life. They will explore AI applications such as chatbots, recommendation systems, image recognition, voice assistants, translation tools, and smart devices.
Students will also learn about no-code AI tools and slowly connect those ideas with Python-based logic.
Python Chatbot
Students will create a simple chatbot that answers questions about a school subject, course, or general topic. The first version can be rule-based using if-else, and advanced students can add lists, dictionaries, or simple text matching.
Students should be able to:
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
