Course_Object Automation.pdf
- 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
- 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
- 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
- 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
- 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.
- 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