AI Master Class - Internship
Learn AI from Experts, skills that make you job ready and power ahead in your career. Industry demand Technology..
Intern Fee : Rs.999/–

Batch Starts: 21 Mar 2022
Limited Seats
Program Duration : 30 Days
Projects
Learning Format
Recorded Session
Internship Overview
Learn AI from Experts, skills that make you job ready and power ahead in your career. Industry demand Technology. Practice and develop indegenious custom applications on your own. This Masterclass take into an amazing world of Artificial Intelligence and its fascinating applications.
LEARN – PRACTICE – GROW
Key Features
- 30+ Hours of Learning
- University Recognised APSSDC Certification
- Curriculum Designed by Academicians & Industry personels
- Learn while you Do! Learn by Practising!
- 10+ Development Projects
- Mentor Assisted Learning
- Access to Records & Video Contents
- Presentation and the Codes – Downloadable
- Options to Learn at your own pace
- Community – Doubts Clarification & Knowledge Sharing
AI is not just a technology Initiative anymore
Organizations implementing IoT are increasingly focusing on the bsiness outcomes of the technology. IoT Initiatives are no longer driven by the sole purpose of internal operational improvement. IT and business stakeholders must work together to align IoT Projects with business objectives for improving revenue and customer experience, but they are bound by legacy approaches. Organizations with high levels of IoT maturity achieve higher rates of success in their IoT adoption. With the Organisations moving towards Internet of Things, it is essential to know the how on the IoT Concepts and Implementations to stand out from the rest. The Expert Predictions estimate more than to 21 billion IoT devices by 2025. With the AI getting bigger, intervention of smart cities and Smart Cars. IoT is definitely to be the next roll over.
Learning Path
Learning path of any learning concept is rather very important, as it is the way through which the learning process is enabled. This AI Master class is designed to make the participant learn from the scratch and master the concepts with ease.
- AI Overview and Python for AI Concepts
- Image and Video Processing using OpenCV
- Deep Learning Algorithms with Computer Vision Applications.
- Speech Recognition using AI.
- NLP Applications – Working AWS and Microsoft Azure.
What You Will Learn!
Day -1 : Introduction to AI
Day -2: Why python for AI ?
Day -3: Introduction to computer vision and its application
Day -4: Image & video processing using Computer vision
Day -5: Color tracking using OpenCV
Day -6: Face counting Using OpenCV
Day -7: Edge detection using OpenCV
Day -8: Region of Interest using OpenCV
Day -9: Lane detection using OpenCV
Day -10: Fire detection using OpenCV
Day -11: Gesture detection using Sklearn and OpenCV
Day -12: Digital art using OpenCV
Day -13: Mouse control using gesture
Day -14: Drowsiness detection using eye aspect ratio
Day -15: Headpose detection using ML
Day -16: Object recognition using DNN and Tensorflow
Day -17: Vehicle speed estimation using DNN
Day -18: Emotion recognition using deep learning
Day -19: Traffic sign recognition using deep learning
Day -20: Social distance monitoring using deep learning
Day -21: Optical Character Recognition
Day -22: Speech recognition and text to speech conversion
Day -23: Speech emotion recognition using deep learning
Day -24: Introduction to NLP and its applications
Day -25: Tokenizing using NLTK
Day -26: What is stemming in NLP?
Day -27: Purpose of lemmatizing
Day -28: About chunking and its functions
Day -29: Intro to NLP using AWS
Day -30: Working with AI in Azure
Tools Covered






Internship Take Ways – Assignments, Projects, Certifications

- Enhanced Knowledge Transfer
- Guided / Mentored Assignments
- Recognized Internship Certifications
- Resume Building Recommendations
- Professional Networking
- Downloads – PPTs & Project Files
- 2 Months Access to Recorded Sessions
- Certificate Downloads on Immediate
Develop & Refine your Employability Skills with Internships
Join as Interns, Learn and practice with LIVE projects and enhance your employability skills to be Industry Ready. Technical Internships with Assisted Learning & Core Application Practices
- Organised Content
- Mentor Assisted Learning
- Hands on Experience
- Assignments & Projects
- 17 Yrs Experience Sharing
- Forum Support
Happened to complete my course on Machine Learning. Excellent course for people who start in the machine learning field. It covers the necessary basics that you can continue to study by yourself in the future. Concept and workflow are really well. I do highly recommend this course for any new ML starter.
Yash Ghatge
Bharati Vidyapeeth College Of EngineeringTraining was excellent with good interaction. Knowledge sharing is good. Recording facility is excellent for revising. Course was practically and informative. Valuable experiences in online learning.
Anilet Bala
SRM Institute of Science and TechnologyVery nicely organised program. Many concepts are very clear after attending these sessions. Thank you team Pantech for making it a practical training program.
Manjula
University of Calicut-
What is AI?
Artificial intelligence is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans
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What are the benefits of AI?
1. Medical 2. Environmental Applications 3. Robotics 4. Industrial Automation 5. Education 6. Agriculture 7. Défense Applications
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Software Tools used in AI?
Python Programming, OpenCV, Tensorflow, Sklearn, Keras
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How we can Access the Recorded Sessions?
Day Wise Lessons will be uploaded and you can access from the LMS - https://www.pantechelearning.com/lp-profile/ with your registered account.
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Venue and Duration of the Internship?
Internship is on Online Mode. Recorded sessions with illustrative combination of theory and practice will enhance the user learning experience.
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Certificate for the Internship?
Yes, Its a Certified Internship and Certified by Pantech eLearning and APSSDC. Certificate can download from your account - https://www.pantechelearning.com/lp-profile/ once you complete the Internship.