Object Automation recently conducted a workshop on the application of Artificial Intelligence in Unmanned Vehicles (UAV) where around 500 students from various college across the state participated.The workshop also covered a Drone Demo with some special features for the Agriculture Industry. We do have a 40 hours curriculum for AI in UAV where students and developers will learn about applications of Python, Machine Learning, Deep Learning and integrating AI with UAV to build drones for Agriculture and Surveillance.
5. Object
Automation
ObjectAutomation System Solutions Pvt. Ltd.
• We are AI and Big Data Research and Solutions
Organization with expertise in Deep Neural Network
design and related hardware, software and strategy.
• As we evolved, we have become a leading Data
Science Solutions and Services company delivering
AI Solutions, AI Services and AI Training.
• Our vision is to find correct solutions for our
customers with current trends and the latest
technologies to make timely and reliable decisions
for critical business discovery.
• Our mission is to transform the Enterprise,
Government and Universities with a new generations
of AI and Big Data Solutions.
• We educate students on current technologies and
help them to get expertise in their respective field of
study.
6. About the Course
Artificial Intelligence in Aero
• This Foundational program in AI in UAV helps you master the
skills looked for by the top employers for the various AI roles
as well as mission for India in UAV with AI.
• This course covers the concepts and tools which is required
for your career to shine and become great leaders
You will master skills in Python, Machine Learning, Deep
Learning , deploying models on the cloud and integrating
UAV with AI features. As part of the projects, you’ll deploy the
skills in building a real solutions using with real world data
At completion, students and developers will receive the
technical certification.
9. Python
Python Programming
Module 1- Python Basics
Programming Basics
Data Types
Expressions and Variables String
Operations
Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries
Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops Functions
Objects and Classes
Module 4 - Working with Files in Python
Reading files
Writing files
Working with and Saving data in Files
10. Tools & Libraries
Tools and Libraries
Module 1– Data Analysis
Importing Datasets
Cleaning and Preparing the Data
Summarizing the Data Frame
Importing and Exporting Data
Module 2 – Data Visualization
Introduction to visualization
Basic and Advanced Visualization Techniques
11. Machine
Learning
Machine Learning
Module 1– Introduction
Machine Learning Modelling Flow
How to treat Data in ML
Types of Machine Learning
Scikit-Learn Library
Module 2- Regression
Introduction to Linear Regression
Linear Regression using Gradient Descent
Linear Regression using OLS
Module 3 –Classification
Introduction to Logistic Regression
Decision Tree
Module 5 –Clustering
What is Clustering?
Types of Clustering
K-means Algorithm
12. Deep Learning
Deep Learning
Module 1- Introduction
Setting up the programming environment.
Deep Learning Libraries
Module 2 – Model Building
Introduction Neural Networks and its implementation
Introduction to Convolution Neural Networks (CNN) and its
components and implementation
Introduction to Recurrent Neural Networks (RNN) and its
components and implementation
Module 3 – Image Recognition
Introduction to Image Processing
ResNet
Classify Images
Model Building
13. Cloud
Computing
Cloud Computing
Module 1- Cloud Computing
Introduction to Cloud Computing
Benefits of Cloud Computing
Types of Cloud
Types of Cloud Services
Uses of Cloud Computing
Module 2 – AI and ML on Cloud
14. Case Studies and Projects
Learners will work on multiple case studies and projects from different domains as mentioned below:
Dog and Cat Classification
Leaf Disease Detection
Weed detection in Soya bean crop
.
15. Performance
Evaluation
• Every specialization includes a hands-
evaluation.
on performance
need to successfully clear
You’ll
the
evaluation process to complete the
specialization.
Performance Evaluation
Course Duration
40 Hours
AT THE END OF THIS COURSE, YOU
WILL EARN ACERTIFICATE AND
IBM BADGES!!!
16. KEY FEATURES
Online Live Classes
Real Time Industry
Projects
International SME Lectures
Career Services by Object
Automation
Industry Recognized
Certification
World-class AI
Hardware Access
Learn from Academic
and Industrial Experts
Projects in US
Universities for Top
Students
17. World Class Hardware Infra Access
IBM POWER 9 Servers
and x86 with V100 GPUs
NVidia Servers with
A100 GPUS
300 TB DATA
Storage
Dedicated Access to
the systems
Enterprise AI
Server Access