← Back to training
Course
AI 360 – Generative AI & ChatGPT Essentials
AI 360 is a comprehensive 1-month certification course designed to provide a complete understanding of Artificial Intelligence, Generative AI, and ChatGPT. The course focuses on practical usage of AI tools, prompt engineering, business and coding applications, and ethical considerations, enabling students and professionals to effectively use AI in real-world scenarios.
Verified AICTE InstituteCertificate Included1 Month (4 Weeks)ClassroomBeginner to Intermediate
Learning Outcomes
- ✓ Understand AI and Generative AI concepts
- ✓ Use ChatGPT and AI tools effectively
- ✓ Apply prompt engineering techniques
- ✓ Utilize AI for business and coding tasks
- ✓ Understand ethical and responsible AI usage
Curriculum
AI 360 – Generative AI & ChatGPT Essentials syllabus
Expand modules to see topics
Module 1: Introduction to AI & Generative AI
- • Bird’s Eye View of Artificial Intelligence
- • Understanding AI, ML, and Generative AI
- • What is Machine Learning?
- • Benefits of Artificial Intelligence
- • Current State and Future of AI
- • AI Tools on the Rise
- • Roles and Careers in the AI Era
- • Introduction to Generative AI
- • Applications of AI
- • Module Summary
Module 2: Conversational AI
- • Introduction to Conversational AI
- • Functions of Conversational AI Models
- • How Conversational AI Works
- • Demonstration of Conversational AI
- • Use cases and industry adoption
- • Module Conclusion
Module 3: ChatGPT Fundamentals
- • What is ChatGPT?
- • Evolution of ChatGPT
- • How ChatGPT Works
- • Using ChatGPT Effectively
- • Common and Advanced Use Cases
- • Limitations of ChatGPT
Module 4: Prompt Engineering Techniques
- • Introduction to Prompt Engineering
- • Zero-Shot Prompting
- • Few-Shot Prompting
- • Chain of Thought (CoT) Prompting
- • Self-Consistency Prompting
- • Generated Knowledge Prompting
- • Tree of Thoughts (ToT)
- • Prompting Frameworks
- • Difference Between Good and Bad Prompts
Module 5: Fine-Tuning & RAG Concepts
- • Overview of Fine-Tuning
- • Advantages of Fine-Tuning
- • Retrieval-Augmented Generation (RAG)
- • Fine-Tuning vs RAG
- • Enterprise use cases
- • Conceptual understanding (no coding)
Module 6: Advanced ChatGPT Usage
- • History of ChatGPT
- • How People Use LLMs in Real Life
- • What ChatGPT Can Do
- • What ChatGPT Cannot Do
- • Advanced and Professional Use Cases
- • AI in the Work Environment
Module 7: AI Tools & Industry Applications
- • AI in Marketing
- • AI in Sales
- • AI in Customer Support
- • AI in Manufacturing
- • AI in Project Management
- • AI in Data Analysis
Module 8: Generative AI Modalities
- • Text-to-Text AI
- • Text-to-Image AI
- • Text-to-Voice AI
- • Text-to-Video AI
- • Overview of popular Gen AI tools
Module 9: AI for Coding & Development
- • How AI Helps in Coding
- • Best LLM Options for Coding
- • Areas Covered by AI Coding Tools
- • Building Applications Using ChatGPT
- • Best Practices for AI-Assisted Coding
- • Challenges of AI-Assisted Development
Module 10: Ethics & Responsible AI
- • Ethical Considerations in Generative AI
- • Bias, Privacy, and Security
- • AI Risks and Limitations
- • Implications of AI for Enterprises
- • Responsible Use of AI
- • Course Conclusion