This comprehensive course covers full stack web development using Python. It includes front-end development with HTML, CSS, and JavaScript, back-end development with Python and Django framework, and database management with SQL.

• Interview Process: Prospective students are required to complete an interview session focused on assessing their problem-solving skills and motivation to learn programming before enrolling in the course.
• Course Content:

1. 1. Introduction to Full Stack Development
   2. Front-End Development with HTML, CSS, and JavaScript
   3. Back-End Development with Python and Django
   4. Database Management with SQL
   5. Deployment and Hosting

• Course Materials: Lecture slides, coding exercises, project assignments, and recommended readings.
• Prerequisites: No prior programming experience required. Enthusiasm to learn and problem-solving attitude are essential.

Duration: 24 weeks

This course provides an overview of DevOps principles and practices, including continuous integration, continuous delivery, infrastructure as code, and containerization.

• Interview Process: Prospective students are required to complete an interview session focused on assessing their understanding of IT infrastructure and interest in DevOps practices before enrolling in the course.
  
  
• Course Content:
  1. Introduction to DevOps
  2. Version Control with Git
  3. Continuous Integration and Delivery
  4. Infrastructure as Code (IaC)
  5. Containerization with Docker

Course Materials: Lecture videos, hands-on labs, case studies, and recommended tools.

Prerequisites: No prior DevOps experience required. Familiarity with basic computer usage recommended.

• Duration: 10 weeks

 This course introduces students to the field of data science and analytics. It covers data manipulation, visualization, statistical analysis, and machine learning concepts using Python.

• Interview Process: Prospective students are required to complete an interview session focused on assessing their analytical skills and interest in data science before enrolling in the course.

Course Content:

1. 1. Introduction to Data Science
   2. Data Manipulation and Cleaning
   3. Data Visualization
   4. Statistical Analysis
   5. Introduction to Machine Learning

• Course Materials: Lecture notes, datasets, coding assignments, and recommended readings.
• Prerequisites: No prior data science experience required. Basic understanding of Python programming recommended.

Duration: 12 weeks

This course covers the fundamentals of cybersecurity, including threat analysis, risk management, network security, and cryptography. Interview Process: Prospective students are required to complete an interview session focused on assessing their understanding of cybersecurity concepts and interest in the field before enrolling in the course.

Course Content

Introduction to Cybersecurity 

Threat Analysis and Risk Management

 Network Security Cryptography

Course Materials: Lecture slides, case studies, cybersecurity tools, and practical exercises. Prerequisites: Basic understanding of computer networks and information systems.

 Duration: 12 weeks

This course explores the principles of designing conversational AI interfaces, including natural language understanding, dialogue management, and user experience design.

• Interview Process: Prospective students are required to complete an interview session focused on assessing their communication skills and interest in designing AI-powered conversational interfaces before enrolling in the course.
• Course Content:
  1. Intruduction and Core Conversational AI Design 
  2. Career & Business Development for Conversational AI
  3. Deployment, Testing, & Responsible AI
     
     
• Course Materials: Lecture presentations, Live sessions, chatbot development platforms, design mockups, and user testing frameworks.
  
  
• Prerequisites: No prior AI experience required. Familiarity with basic concepts of human-computer interaction recommended.
  
  
• Duration: 12 weeks

Welcome to the Coding Bootcamp Beginner Course! This intensive program is designed to introduce you to the exciting world of web development and digital marketing. Over the course of four weeks, you'll dive into UI/UX fundamentals, web development basics (HTML, CSS, JavaScript), intermediate web development, and digital marketing essentials. By the end of the course, you'll have acquired foundational skills in coding, web design, and digital marketing strategies.

Course Outline:

• Week 1: UI/UX Fundamentals

• Week 2: Web Development Basics (HTML, CSS, JavaScript)

• Week 3: Intermediate Web Development

• Week 4: Digital Marketing Basics

Course Objectives:

• Gain a solid understanding of UI/UX design principles and their application in web development.
• Acquire proficiency in HTML, CSS, JavaScript, and their use in creating interactive and responsive websites.
• Develop essential skills in digital marketing, including SEO, SEM, SMM, and content marketing.
• Build a portfolio of projects showcasing your proficiency in coding, web design, and digital marketing strategies.

Course Learning Methods:

• Live Sessions: Participate in live webinars and interactive sessions with instructors and industry experts.
• Hands-on Activities: Engage in practical exercises, assignments, and projects to apply your learning.
• Discussion Forums: Collaborate with peers, ask questions, and share insights in online discussion forums.
• Q&A Sessions: Seek clarification, receive feedback, and interact with instructors during live Q&A sessions and office hours.

Prerequisites:

• No prior coding or digital marketing experience required. This course is suitable for beginners with a passion for technology and a desire to learn.
• Basic computer literacy and internet access are necessary to participate in online activities and assignments.

Certification:

• Upon successful completion of the course and all assignments, you will receive a certificate of completion, validating your proficiency in coding, web development, and digital marketing basics.