Artificial Intelligence, AI master class, Python programming, Deep learning, Machine learning, Natural language processing, Computer vision, OpenCV, Neural networks, Data science, Chatbot development, Image recognition, Data analysis, AWS deployment, Raspberry Pi AI
Are you ready to embark on an enriching 30-day journey into the realm of Artificial Intelligence (AI)? Starting today, April 26th, at 7:00 PM IST, join us for an immersive master class designed to equip you with the skills and knowledge needed to navigate the complexities of AI with confidence and expertise. With only 2000 seats available on a first-come-first-serve basis, secure your spot now and don’t miss out on this transformative learning experience.
What You Will Learn
Artificial Intelligence
DAY – 1 Overview of this course | Introduction to AI | How to create basic AI application (Chat bot using DialogFlow)DAY – 2 How to install Python & Libraries | Basics of python Programming for AI.COMPUTER VISION
DAY – 3 Introduction to Computer Vision| How to install computer vision librariesDAY – 4 Moving Object Detection and tracking using OpenCVDAY – 5 Face Detection and Tracking using OpenCVDAY – 6 Object Tracking based on color using OpenCVDAY – 7 Face Recognition using OpenCVDAY – 8 Face Emotion recognition using 68-Landmark Predictor OpenCVDEEP LEARNING
DAY – 9 Introduction to Deep learning | How to install DL librariesDAY – 10 Designing your First Neural NetworkDAY – 11 Object recognition from Pre-trained modelDAY – 12 Image classification using Convolutional Neural NetworkDAY – 13 Hand gesture recognition using Deep LearningDAY – 14 Leaf disease detection using Deep LearningDAY – 15 Character recognition using Convolutional Neural NetworkDAY – 16 Label reading using Optical Character recognitionDAY – 17 Smart Attendance system using Deep LearningDAY – 18 Vehicle detection using Deep LearningDAY – 19 License plate recognition using Deep LearningDAY – 20 Drowsiness detection using Deep LearningDAY – 21 Road sign recognition using Deep LearningMACHINE LEARNING
DAY – 22 Introduction to Machine learning| How to install ML librariesDAY – 23 Evaluating and Deploying the various ML modelDAY – 24 Fake news detection using MLDAY – 25 AI snake game design using MLNATURAL LANGUAGE PROCESSING
DAY – 26 Introduction to NLP & it’s Terminology | How to install NLP Libraries NLTKDAY – 27 Title Formation from the paragraph design using NLPDAY – 28 Speech emotion analysis using NLPDEPLOYING AI IN HARDWARE
DAY – 29 Cloud-based AI, Object recognition using Amazon Web Service (AWS) & ImaggaDAY – 30 Deploying AI application in Raspberry Pi with Neural Compute stick & Nvidia Jetson Nano
Introduction to AI (Day 1):
Day 1 sets the stage with an overview of the course and an introduction to AI. Participants will learn the basics of creating AI applications, including the development of a chatbot using DialogFlow.
Python and Programming Basics (Day 2):
On Day 2, participants will delve into Python programming, essential for AI development. The session will cover how to install Python and necessary libraries, laying a strong foundation for the journey ahead.
Exploring Computer Vision (Days 3-8):
Days 3 through 8 focus on Computer Vision, a crucial aspect of AI enabling machines to interpret and understand visual information. Participants will learn about installing computer vision libraries and delve into topics such as object detection, tracking, face recognition, and emotion analysis using OpenCV.
Deep Dive into Deep Learning (Days 9-21):
Days 9 through 21 delve into Deep Learning, a subset of AI inspired by the human brain’s neural networks. From designing neural networks to image classification, hand gesture recognition, and smart attendance systems, participants will explore the vast applications of Deep Learning.
Machine Learning Applications (Days 22-25):
Days 22 through 25 focus on Machine Learning, where machines learn from data to improve performance. Participants will explore various ML models, evaluation techniques, and deploy ML models for tasks such as fake news detection and game design.
Unraveling Natural Language Processing (Days 26-28):
Days 26 through 28 introduce participants to Natural Language Processing (NLP), enabling machines to understand and generate human language. From title formation to speech emotion analysis, participants will discover the wonders of NLP.
Deploying AI in Hardware (Days 29-30):
Days 29 and 30 explore deploying AI applications in hardware, including cloud-based services like AWS and devices like Raspberry Pi with Neural Compute Stick and Nvidia Jetson Nano.
Throughout the master class, participants will engage in hands-on learning, practical exercises, and live demonstrations, ensuring an interactive and enriching experience. Don’t miss this opportunity to unlock the power of AI and embark on a journey of mastery. Join us today at 7:00 PM IST and take the first step towards a future empowered by Artificial Intelligence.
FAQ
1. What is the prerequisite knowledge required for this master class?
No prior experience in AI is required. However, familiarity with basic programming concepts will be beneficial, especially in Python.
2. How do I confirm my seat for the master class?
To confirm your seat, simply click on the provided Zoom link for each day’s session. Seats are limited and will be allocated on a first-come-first-serve basis.
3. Will I receive certificates upon completion of the master class?
Yes, participants who attend all sessions will receive a certificate of completion at the end of the 30-day program.
4. Can I join the master class after it has started?
While we encourage participants to join from the beginning, you can still join the master class at any point during the 30-day duration. Recordings of previous sessions will be made available.
5. Do I need to install any software or tools prior to the master class?
Yes, participants will need to install Python and specific libraries as outlined in the course schedule. Detailed installation instructions will be provided.
6. Will I have access to course materials after the master class ends?
Yes, participants will have access to course materials, including presentations, code samples, and additional resources, for a certain period after the master class concludes.
7. Is there any group interaction or networking opportunities during the master class?
Yes, participants will have access to a dedicated Telegram group where they can interact with instructors and fellow participants, ask questions, and share insights and experiences.
8. Are there any assignments or assessments during the master class?
While there are no formal assessments, participants will have the opportunity to engage in practical exercises and hands-on projects to reinforce learning.
9. Can I apply the skills learned in this master class to real-world projects?
Absolutely! The skills acquired in this master class are directly applicable to real-world AI projects across various domains, from computer vision to natural language processing and beyond.
10. How can I get support if I encounter any difficulties during the master class?
nstructors will be available during live sessions to address any questions or concerns. Additionally, participants can reach out for support via the Telegram group or email throughout the duration of the master class.
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Excited to learn
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It’s amazing for my life ❣️
thank you