Introduction to AI & Machine Learning
Main Focus
- Core AI/ML concepts and terminology
- How algorithms learn from data
- Real-world applications across industries
Machine Learning with Python
Main Focus
- Supervised and unsupervised learning techniques
- Model building, training, and evaluation
- Hands-on projects using Python libraries
AI Tools for Research & Academic Writing
Main Focus
- Using AI tools for literature review and research
- AI-assisted academic writing and editing
- Citation, originality, and ethical AI use
AI-Powered Observability & DevOps (AIOps)
Main Focus
- AI-driven monitoring and anomaly detection
- Intelligent automation in DevOps pipelines
- Tools used in modern AIOps practices
Generative AI Tools for Productivity & Creativity
Main Focus
- Practical use of popular GenAI tools
- Productivity, content creation, and creative workflows
- Everyday applications across academic and personal tasks
Generative AI & Prompt Engineering
Main Focus
- Principles of effective prompt writing
- Applying prompts across different GenAI tools
- Practical use cases for academic and professional tasks
Generative AI & LLM Application Development
Main Focus
- Working with large language models
- API integration and application building
- Basics of fine-tuning and deployment
