AI Innovator (Std 9–12)

The AI Innovator course at DeepLearn Academy is designed for students (Std 9–12 & College Freshers) who are ready to move beyond curiosity and start building real-world AI applications. This program bridges the gap between school learning and future careers by aligning with modern AI education standards, including the CBSE AI curriculum.

Students will learn Python programming, understand how Machine Learning works, and build real AI-powered applications through hands-on projects. With a strong focus on practical implementation, ethical AI, and portfolio building, this course empowers learners to take their first step into the world of AI careers.

🎯 Course Goal

• Bridge the gap between school learning and AI careers
• Build strong foundations in Python and Machine Learning
• Develop practical problem-solving and project-building skills
• Align learning with CBSE AI and future industry needs

📚 Syllabus: AI Innovator (12–16 Weeks)

🧭 Phase 1: Foundations (Weeks 1–4)

• Python basics for AI (variables, loops, functions, libraries)
• Introduction to Machine Learning
• Types of ML: Supervised, Unsupervised, Reinforcement
• Data collection and ethical considerations
  Hands-on: Write Python programs and explore basic datasets

🤖 Phase 2: Core Machine Learning (Weeks 5–9)

• Linear Regression and Classification
• Decision Trees and Random Forest
• Image recognition using Teachable Machine + Python integration
• Bias and fairness in AI (real-world Indian case studies)
  Projects: Build basic ML models for prediction and classification

🚀 Phase 3: Generative AI & Capstone Projects (Weeks 10–12/16)

• Introduction to Generative AI
• Prompt engineering fundamentals
• ChatGPT API basics (conceptual + guided usage)
• Build 3 capstone projects:
  • Chatbot for studies
  • Sentiment analyzer for social media
  • Recommendation system
• Career guidance and portfolio building
  Outcome: Complete real-world AI projects

🛠 Tools Covered

• Python
• Google Colab
• Scikit-learn
• Hugging Face (introductory level)
• Streamlit (for building simple AI apps)

🚀 What Students Will Learn

• Python programming (beginner to intermediate)
• Data handling and visualization
• Core Machine Learning algorithms
• Model building and evaluation
• Building real-world AI applications

🏆 Outcome

• Build 3 industry-relevant portfolio projects
• Earn “AI Innovator” Certificate
• Gain practical AI skills for internships and future careers
• Develop a strong foundation for advanced AI/ML learning