Latest course curriculum from Object Automation System Solutions Pvt Ltd

1. Object Automation System
Solutions Inc

2. Technology Course
Offerings
❑ AI in Enterprise
❑Gen AI
❑ UI Developer
❑ Cyber Crime
❑ Integrated Azure
❑Chip Design

3. • Introduction to AI
• Approaches to AI
• Branches of AI
• Waves of AI - Historical Progress
• Myths about AI
• Role of AI in Computing
• Intro to Python
• Data types in Python
• Lists and Tuples
• Dictionaries and Sets
• Functions and Objects
• Basics of Numpy and Pandas
• Basics of Scikit-Learn
• Google Colab programming environment
• Machine Learning in Python
• Discover and Visualize the Data
• Data Preparation
• Select and Train the Model
• Fine-tuning the Model
AI in Enterprise

4. • Commonly used learning algorithms
• Python Programming
• Data Analysis and Visualization
• Introduction to Machine Learning
• Model Building using IBM Watson X
• Applications in Cybersecurity
• Fraud detection
• Intrusion detection o Applications in the Supply
Chain
• Demand Forecasting
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen
specially designed to cater to the needsof the
industry’s demand, opportunities, and certification.
AI In Enterprise

5. AI IN ENTERPRISE
SERVICES

7. W H O SH O U L D D O
T H IS C O U R SE ?
Candidates from various backgrounds like science/commerce/arts, Engineering,
Finance, Maths, Business Management, BA, BCom, CA, BCA, MCA, BSc., etc.
who are looking for training to start their career in the field of Analytics,
Business Analytics, Data Science, Machine Learning even with no knowledge on
coding but willing to put effort in learning from basics.
• This has been designed to build the strong conceptual base and then
apply those concepts learned, on real-time Industry projects for deeper
understanding.
• We keep the batch size under 8-9 students to facilitate better learning
environment and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry
experts with 13+ years of training and Industry experience and been
continuously upgraded to meet industry's changing demands and on the
same side build the confidence in clients who have no background in
programming.
• It is designed to evolve the critical thinking and learn the concepts in a
practical way.

8. Introduction to Generative Models
• Overview of generative models
• Types of generative models (e.g., GANs,
VAEs)
• Historical context and development
Deep Learning Fundamentals
• Neural network architecture
• Training and optimization
• Backpropagation algorithm
Recurrent Neural Networks (RNNs) and LSTM
• Sequence modeling with RNNs
• Long Short-Term Memory (LSTM) networks
• Applications in generative tasks (e.g., text
generation)
Natural Language Processing (NLP) for Generative AI
• Language models (e.g., GPT, BERT)
• Text generation techniques
• Sentiment analysis and text summarization
Gen AI

9. Generative AI: core algorithms and their evolution
• VAEs - Variational Autoencoders
▪ VAE architecture and components
▪ Latent space representation
▪ Applications of VAEs (e.g., image
generation, data compression)
• GANs - Generative Adverserial Networks
▪ GAN architecture and components
▪ Training GANs
▪ Applications of GANs (e.g., image
generation, style transfer)
• LLMs - Large Language Models
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen
specially designed to cater to the needsof theindustry’s
demand,opportunities, and certification.
Gen AI

10. GEN AI SERVICES

11. W H O SH O U L D D O
T H IS C O U R SE ?
Candidates from various backgrounds like science/commerce/arts, Engineering,
Finance, Maths, Business Management, BA, BCom, CA, BCA, MCA, BSc., etc.
who are looking for training to start their career in the field of Analytics,
Business Analytics, Data Science, Machine Learning even with no knowledge on
coding but willing to put effort in learning from basics.
• This has been designed to build the strong conceptual base and then
apply those concepts learned, on real-time Industry projects for deeper
understanding.
• We keep the batch size under 8-9 students to facilitate better learning
environment and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry
experts with 13+ years of training and Industry experience and been
continuously upgraded to meet industry's changing demands and on the
same side build the confidence in clients who have no background in
programming.
• It is designed to evolve the critical thinking and learn the concepts in a
practical way.

13. • Introduction of computer and accessories
• Introduction to Internet
• Relation and Impact of the Development of ICT
on the Emergence of Cyber Crime
• Relation and Impact of the Development of e-
business and e-commerce on the Emergence of
Cyber Crime
• Relation and Impact of the Development of ICT
on the Emergence of Cyber Crime
• Relation and Impact of the Development of e-
Business and e-commerce on the Emergence of
Cyber Crime
• Relation and Impact of the Development of
Hardware, Software, and Data Resources on the
Emergence of Cyber Crime
• Relation and Impact of the Development of
Telecommunication, Networks, and the Internet
on the Emergence of Cyber Crime-business
Cyber Crime

14. • Typology of Cyber Crime
• Criminological Theories which Explain Cyber
Crime
• Computer Fraud
• Hacktivism
• Cyberpornography
• Hate Crimes and Cyberterrorism
• Piracy, Cyberstalking
• Privacy Violation, and Identity Theft
• Prevention of the Cyber Crime
• Policing the Cyber Crime
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen
specially designed to cater to the needsof the
industry’s demand, opportunities, and certification.
Cyber Crime

15. CYBER CRIME
SERVICES

16. W H O SH O U L D D O
T H IS C O U R SE ?
• In this program, you will focus on skill development in collecting and
analyzing crime data and identifying crime patterns and trends for the
forecasting of future crime occurrences
• Participants will also learn to use statistical techniques to prepare
predictive and descriptive reports of individuals, associations, flow,
operations, and threats based on the distillation and synthesis of all
available information
• You will receive practical instruction in crime analysis, criminal
investigative analysis, organized crime and intelligence analysis, and law
enforcement research and statistical methods
• This has been designed to build a strong conceptual base and then apply
those concepts learned, on real-time Industry projects for deeper
understanding.
• We keep the batch size under 8-9 students to facilitate a better learning
environment and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry experts
with 13+ years of training and Industry experience and been continuously
upgraded to meet the industry's changing demands and on the same side build
the confidence in clients who have no background in programming.
• It is designed to evolve the critical thinking and learn the concepts in a practical
way.

17. UI Developer
• HTML - HTML Fundamentals
• Introduction,HTML Text,
• Introduction to HTML5 - Page Layout Semantic
Elements, Form Elements and Attributes,
• Working with Canvas, Scalable Vector Graphics
(SVG), Media - Audio and Video, Drag and
Drop, Web Storage.
• CSS-Working with CSS, CSS Rules, CSS
Selectors, CSS Cascade, CSS Fonts and
Typography
• CSS3 Text Effects,CSS3 Web Fonts,CSS3 2D
Transforms,CSS3 3D Transforms, CSS3
Transitions and Animations.
• JAVASCRIPT-Introduction,Variable Declaration,
Arithmetic Operations, Array, Array Methods,
String, String Method JavaScript Function,
Function Closure, Prototype Chaining,Regular
Expression, Error Handling, Event Listener,
Date Methods, JavaScript Form Validations
Navigator, E6 Features, jQuery- jQuery
Introduction, jQuery Selectors, Find
Dropdown Selected Item, jQuery Document
Traversal, jQuery Event, jQuery Effects, jQuery
HTML Manipulation, jQuery UI

18. • ANGULARJS- What is AngularJS, What is Single
Page Application, Features of AngularJS,
Advantages of AngularJS, MVC structure, MVVM
structure, Services, Dependency injection,
Controllers, Directives, Built-in Directives,
Template, Routing (with server configurations),
Digest Cycle (Watcher in AngularJS),
• Angular 2 - Architecture, Components,
Templates, Directives, Meta Data, Data Binding,
Curd Operations Using HTTP, Error Handling,
Routing, Navigation, Forms,CLI, Dependency
Injection, Data Display, Handling Events, Custom
Pipes, User Input,Life Cycle Hooks, Nested
Containers, Services, Unit Testing Using
Jasmine,E2E Testing Potractor
UI Developer

19. • Introduction Features of Typescript,Why use
Typescript,Component of Typescript,Typescript –
Environment Setup,Basic Syntax (Compiler Flags,
Identifiers, & Object Orientation) Inferred Typing
in Typescript, Variable Declaration Types, Tuples,
Enum, Nullable, Union (New types in Typescript),
Typescript Decision making conditions,
Typescript Function, Inheritance and Constructor
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen specially
designed to cater to the needsof theindustry’s demand,
opportunities, and certification.
UI Developer

20. UI DEVELOPER
SERVICES

21. W H O SH O U L D D O
T H IS C O U R SE ?
Candidates from various backgrounds like science/commerce/arts, Engineering, Finance,
Maths, Business Management, BA, BCom, CA, BCA, MCA, BSc., etc. who are looking for
training to start their career in the field of Analytics, Business Analytics, Data Science,
Machine Learning even with no knowledge on coding but willing to put effort in learning from
basics.
• This has been designed to build the strong conceptual base and then apply those
concepts learned, on real-time Industry projects for deeper understanding.
• We keep the batch size under 8-9 students to facilitate better learning environment
and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry experts with
13+ years of training and Industry experience and been continuously upgraded to meet
industry's changing demands and on the same side build the confidence in clients who
have no background in programming.
• It is designed to evolve the critical thinking and learn the concepts in a practical way.

22. IN T E G R A T E D
D A T A SC IE N C E
C O U R S E W IT H
A Z U R E D A T A
E N G IN E E R IN G
A N D P O W E R B I

23. AZURE CLOUD
SERVICES

24. INTEGRA TED
COURSE TOPICS
Data Science with Machine Learning using
Python and BI
• Python Programming and Pythonlibrarieslike Pandas,
• NumPy,Matplotlib, etc.
• Machine Learning
• SQL
• Advance Excel
• Microsoft PowerBI for interactive data visualization
• Data Engineering features (Database, Data warehouse
• and ETL toolslike Azure Data Factory and
• AzureDatabricks) onMicrosoft Azure
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen
especially designed to cater to the needsof industry’s
demand, opportunities and certification.

25. W H O SH O U L D D O
T H IS C O U R SE ?
Candidates from various backgrounds like science/commerce/arts, Engineering, Finance,
Maths, Business Management, BA, BCom, CA, BCA, MCA, BSc., etc. who are looking for
training to start their career in the field of Analytics, Business Analytics, Data Science,
Machine Learning even with no knowledge on coding but willing to put effort in learning from
basics.
• This has been designed to build the strong conceptual base and then apply those
concepts learned, on real-time Industry projects for deeper understanding.
• We keep the batch size under 8-9 students to facilitate better learning environment
and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry experts with
13+ years of training and Industry experience and been continuously upgraded to meet
industry's changing demands and on the same side build the confidence in clients who
have no background in programming.
• It is designed to evolve the critical thinking and learn the concepts in a practical way.

26. W H O SH O U L D D O
T H IS C O U R SE ?
Candidates from various backgrounds like science/commerce/arts, Engineering, Finance,
Maths, Business Management, BA, BCom, CA, BCA, MCA, BSc., etc. who are looking for
training to start their career in the field of Analytics, Business Analytics, Data Science,
Machine Learning even with no knowledge on coding but willing to put effort in learning from
basics.
• This has been designed to build the strong conceptual base and then apply those
concepts learned, on real-time Industry projects for deeper understanding.
• We keep the batch size under 8-9 students to facilitate better learning environment
and provide one-to-one attention.
• This is not just any other program, it’s a program designed by Industry experts with
13+ years of training and Industry experience and been continuously upgraded to meet
industry's changing demands and on the same side build the confidence in clients who
have no background in programming.
• It is designed to evolve the critical thinking and learn the concepts in a practical way.

27. Chip Design
Unveiling OpenPOWER Course Introduction
Microwatt Introduction
• Microwatt Simulation - With Samples to explore
• functionality FPGA Implementation of
Microwatt system
System on Chip (SoC) and its Components &
Introduction to IP Cores
• Libre - SoC and its components
• Libre - SoC Tool chain and Environment
• Impact and use of Wishbone Bus and its protocols
• Exploring Core to Peripheral Communication
• Exploring Core to Memory Communication
• Exploring Peripheral to Memory Communication
• Exploring Memory to Memory Communication
• Address Space Exploration
Testing concepts – Introduction
• Testing Open Source Environmental Setup
Components of IP Core Verification
System Verilog Essentials

28. Chip Design
The flow of the stimulus in IP verification
environment
• Different test bench automation techniques in IP
verification
• Describing testing with one example
Components of SoC verification
• Flow of the stimulus in the SoC verification
environment
• Different test bench automation techniques in IP
verification
• Describing SoC testing with one example
Thiscourse is an integrated package best suited for
professionalsand Students/Faculties.Thishasbeen specially
designed to cater to the needsof theindustry’s demand,
opportunities, and certification.

29. CHIP DESIGN
SERVICES

31. Mode of Delivery
• Classroom classes at any center of choice.
• Online live classes through webinar
• Pre-recorded classes for study at your own pace
Other features:
• All faculties are working in Industry with extensive experience in Data science, machine learning and Azure
cloud
• Placement and résumé support will be provided.
• You can attend multiple batches in classroom and revise.
• Recording links of live webinar classes after the class.
• Assignment and PROJECT – Implementing the concepts on Real-Time projects in all the technologies.
• Live projects with industry application
• Résumé Support
• Interview preparation as well as mock interviews
Delivery Features

32. R E A C H U S F O R
A N Y R E SE A RC H
C O L L A B O R A T IO N
A N D SP E C IA L
LABS
California , USA
+1 914 204 2581
+1 858 603 3472
Chennai, India
+91 7397784815