Requirements
- Computer Basic Knowledge
- Internet Browsing
90-Day Comprehensive AI, Data Science, and Digital Marketing Curriculum FOR PROFESSIONAL
Transformative Extracurricular Program for Postgraduate Professionals
This meticulously crafted 90-day intensive curriculum represents a paradigm shift in vocational technology education, designed to catapult postgraduate students and working professionals into the vanguard of artificial intelligence, data science, and digital marketing excellence. Over 36 carefully orchestrated two-hour classes, participants will traverse an intellectual journey from foundational principles to advanced applications, positioning themselves at the intersection of technological innovation and business acumen.
The program architecture employs a three-phase learning model, with each 30-day module containing 12 transformative classes that progressively build competency, confidence, and career-readiness. This curriculum transcends conventional pedagogy by integrating hands-on projects, real-world case studies, and industry-aligned competencies that reflect 2025’s technological landscape.
What You’ll Learn?
- Introduction to Artificial Intelligence Ecosystem
- Understanding Large Language Models (LLMs)
- Prompt Engineering Fundamentals
- Advanced Prompt Patterns and Techniques
- Introduction to AI Agents
- Building Simple AI Agents
- Generative AI for Content Creation
- Introduction to Data Science
- Python for Data Science Basics
- Data Collection and Exploratory Data Analysis
- Data Preprocessing and Feature Engineering
- Data Preprocessing and Feature Engineering
Curriculum
- 3 Sections
- 36 Lessons
- 90 Days
- MODULE 1: FOUNDATIONS OF GENERATIVE AI AND INTELLIGENT SYSTEMSDuration: Days 1-30 | Classes 1-1212
- 1.1Class 1: Introduction to Artificial Intelligence Ecosystem
- 1.2Class 2: Understanding Large Language Models (LLMs)
- 1.3Class 3: Prompt Engineering Fundamentals
- 1.4Class 4: Advanced Prompt Patterns and Techniques
- 1.5Class 5: Introduction to AI Agents
- 1.6Class 6: Building Simple AI Agents
- 1.7Class 7: Generative AI for Content Creation
- 1.8Class 8: Introduction to Data Science
- 1.9Class 9: Python for Data Science Basics
- 1.10Class 10: Data Collection and Exploratory Data Analysis
- 1.11Class 11: Data Preprocessing and Feature Engineering
- 1.12Class 12: Introduction to Machine Learning Concepts
- MODULE 2: ADVANCED AI, DATA SCIENCE, AND MACHINE LEARNING APPLICATIONSDuration: Days 31-60 | Classes 13-2412
- 2.1Class 13: Supervised Machine Learning Deep Dive
- 2.2Class 14: Unsupervised Machine Learning and Clustering
- 2.3Class 15: Introduction to Deep Learning
- 2.4Class 16: Natural Language Processing Foundations
- 2.5Class 17: Working with AI Agent Frameworks
- 2.6Class 18: Retrieval Augmented Generation (RAG)
- 2.7Class 19: LLM Fine-Tuning and Customization
- 2.8Class 20: Generative AI for Business Applications
- 2.9Class 21: Introduction to Digital Marketing
- 2.10Class 22: Search Engine Optimization (SEO)
- 2.11Class 23: Search Engine Marketing (SEM) and Google Ads
- 2.12Class 24: Social Media Marketing
- MODULE 3: INTEGRATION, SPECIALIZATION, AND CAREER READINESSDuration: Days 61-90 | Classes 25-3612
- 3.1Class 25: Content Marketing and Storytelling
- 3.2Class 26: Email Marketing and Marketing Automation
- 3.3Class 27: Web Analytics and Data-Driven Marketing
- 3.4Class 28: WordPress and Website Management
- 3.5Class 29: Introduction to Augmented Reality (AR)
- 3.6Class 30: AR Development Fundamentals
- 3.7Class 31: IT Management Fundamentals for Tech Professionals
- 3.8Class 32: AI Ethics, Governance, and Responsible AI
- 3.9Class 33: Multi-Agent Systems and Collaboration
- 3.10Class 34: LLMOps and Model Deployment
- 3.11Class 35: Capstone Project Development
- 3.12Class 36: Career Development, Portfolio Building, and Future Trends
Lessons: