Technology & IT

AI Essentials: A Beginner’s Guide to Artificial Intelligence & Generative Tech

   Course Language: English

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Learn from : Sweta Saha

AI, Javascript, C, C++, phython, HTML & CSS

BIO:

Dynamic and results-driven online instructor with a strong foundation in Artificial Intelligence, Cloud Computing, Front-End Development, and React Native. Experienced in designing and delivering engaging, accessible, and practical courses for diverse learners across various platforms. Passionate about simplifying complex technical concepts and equipping students with the skills needed to thrive in the tech industry. Proven ability to integrate real-world projects and industry best practices into interactive learning experiences.

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Course Description:

🚀 Step into the world of AI – the smart way!
This 45-day live online course is designed for absolute beginners who want to explore the exciting world of Artificial Intelligence (AI) and Generative AI – with no heavy coding or technical jargon!

🔍 What You’ll Learn:
✅ What is AI & Machine Learning? 🤔
✅ How Neural Networks think like humans 🧠
✅ ChatGPT & DALL·E – Create with GenAI 💬🎨
✅ Cool real-life AI applications around us 🌍
✅ Hands-on with tools like Google Colab 🛠️
✅ Simple Python basics for AI (no stress!) 🐍
✅ AI ethics, bias, and the future of tech ⚖️🔮
✅ Final mini-project + certification 🎓

📚 Includes:
📁 Interactive slides & notes
💬 Q&A support
💡 Fun practice projects
🎓 Certificate of Completion

📅 Duration: 45 Days | 💻 Mode: Remote (Live via Screen Sharing)

👉 Perfect for students, beginners, and non-tech learners who want to stay ahead of the curve and explore tomorrow’s technology, today!

🌟 No experience needed – just curiosity!

Course Curriculum:

🔹 Week 1: Foundations of AI & Machine Learning

  • Day 1-2: What is AI? Types of AI (Narrow, General, Super AI)

  • Day 3-4: Basics of Machine Learning (ML) – Supervised vs Unsupervised

  • Day 5: Use cases of AI in daily life (health, games, transport, etc.)

Activity: AI Spotting Game – Identify AI around you


🔹 Week 2: Neural Networks – Simple & Visual

  • Day 6-7: What are neural networks? Understanding with analogies

  • Day 8: Input, Hidden, Output Layers – no math, just logic

  • Day 9: How a neural network “learns”

  • Day 10: Tools demo – Google Teachable Machine (visual and easy)

Hands-on: Build your own image classifier with Teachable Machine


🔹 Week 3: Introduction to NLP (Natural Language Processing)

  • Day 11-12: What is NLP? How machines understand language

  • Day 13-14: Fun with chatbots and auto-correct

  • Day 15: Try ChatGPT – writing poems, stories, answering questions

Hands-on: Prompting activities with ChatGPT
Tool: ChatGPT Playground or OpenAI site


🔹 Week 4: Generative AI in Action

  • Day 16-17: What is Generative AI? How is it different from traditional AI?

  • Day 18-19: DALL·E – Text-to-image generation

  • Day 20: Overview of Midjourney, RunwayML (Just demo, not practice)

Activity: Generate an image using DALL·E from a fun prompt


🔹 Week 5: Real-life Applications of AI

  • Day 21-22: AI in healthcare, finance, education, entertainment

  • Day 23: AI and You – How can AI help you personally

  • Day 24-25: AI in schools and learning – smart tutoring systems

Project Discussion: AI Use Case Diary (keep a log of where AI shows up in your day)


🔹 Week 6: Ethics, Biases, and the Future of AI

  • Day 26-27: What is AI bias? Examples of unfair decisions

  • Day 28: Why ethics matter in AI

  • Day 29-30: What does the future of AI look like? Careers and possibilities

Discussion: Should AI be allowed to grade students?


🔹 Week 7: Hands-On & Tools

  • Day 31-32: Using Google Colab – writing your first Python cell

  • Day 33-34: Intro to basic Python logic (print, input, if/else)

  • Day 35: Fun with AI code notebooks (already prepared for drag-drop use)

Hands-on Project: Modify a simple Python chatbot script in Colab
(Only minimal coding)


🔹 Week 8: Wrap-up & Final Assessment

  • Day 36-38: Final project work

  • Day 39-40: Project presentations (optional live or video)

  • Day 41-42: Feedback + Recap games (Kahoot quiz, leaderboard)

  • Day 43-45: Certification review, Q&A support, closure


Start Date

Course Duration

6 Weeks

Total Number of Classes

45

Course Frequency

DAILY

Course Fee

$17.00

Post Course Support

  • Assignments
  • Forums
  • Quizzes
  • Resources
  • Recorded Session Videos

Earn a Course Completion Certificate

Add this certificate in your LinkedIn Profile, resume or share it on social media platforms. It helps validate the learner’s knowledge and skills, boosting their resume and increasing their employability.