About the Course
AI and Large Language Models (LLMs) are revolutionizing industries, automating workflows, and enhancing productivity across multiple domains. However, the complexity of AI development often discourages non-technical individuals from exploring this field.
This course is designed for beginners with no coding experience and will provide a step-by-step guide on how LLMs work, how they can be built using no-code tools, and how to fine-tune them for specific tasks. By the end of the course, participants will have hands-on experience creating, fine-tuning, and deploying their own LLM using accessible, no-code platforms
Course Objective
- Understand what LLMs are and how they work (in simple, non-technical terms)
- Learn the difference between open-source and proprietary LLMs
- Explore the essential steps involved in building an LLM without coding
- Learn how to collect and prepare training data for LLMs
- Gain hands-on experience using no-code AI platforms to build an LLM
- Fine-tune an LLM for specific tasks such as chatbots and text generation
- Deploy their custom-trained LLM for real-world use
Who is the Target Audience?
- Non-technical learners - Anyone with no prior coding or AI experience who wants to understand LLMs
- Business professionals - Decision-makers looking to integrate AI into their businesses
- Content creators & marketers - Individuals exploring AI-driven automation for content generation
- Educators & researchers - Those interested in using AI for knowledge sharing and education
- AI enthusiasts - Anyone curious about AI and looking for an easy-to-follow introduction
Basic Knowledge
This course is designed to be completely beginner-friendly, and no prior AI or programming knowledge is required. However, having a basic understanding of the following will be beneficial:
- Basic Computer Skills - Ability to navigate web-based tools and platforms
- General Awareness of AI Concepts (Optional) - Helps in understanding real-world applications
- No Coding or Machine Learning Experience Needed - The course uses no-code platforms to simplify LLM creation