ChatGPT Training Course: Beginners to Advanced Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive, live instructor-led course guides beginners through advanced ChatGPT and generative AI concepts, covering prompt engineering, API integration, model fine-tuning, and real-world application development. With hands-on projects and expert mentorship, learners gain practical skills in building AI-powered solutions. The course spans approximately 8.5 hours of structured content, including interactive exercises, quizzes, and a final project, supported by 24×7 assistance and culminating in a certificate of completion.
Module 1: Introduction to Generative AI & ChatGPT
Estimated time: 1 hour
- Foundations of generative AI
- Understanding ChatGPT architecture
- Exploration of practical use cases
- Interactive overview and quiz on ChatGPT capabilities
Module 2: Prompt Engineering & Plugins
Estimated time: 2 hours
- Techniques in prompt structuring and optimization
- Advanced prompting strategies for clarity and control
- Integration of ChatGPT plugins
- Testing and iterating prompts in real-world workflows
Module 3: OpenAI API & Workflow Enhancement
Estimated time: 2 hours
- Overview of ChatGPT API functionalities
- Authentication and API key management
- Building automated scripted workflows
- Productivity hacks using API integrations
Module 4: Fine-Tuning Pre-trained Models
Estimated time: 1.5 hours
- Selecting appropriate models for fine-tuning
- Data preparation and formatting for training
- Implementing fine-tuning workflows
- Evaluating model performance post-fine-tuning
Module 5: Business & Productivity Use Cases
Estimated time: 1 hour
- Applying ChatGPT in customer support
- Content creation and summarization tools
- Data analysis with generative AI
- Developing a small-scale project (e.g., chatbot or summarizer)
Module 6: Projects, Case Studies & Certification Prep
Estimated time: 1 hour
- Guided project work (e.g., FitPro chatbot)
- Review of real-world case studies
- Final quiz and project evaluation
- Preparation for certification assessment
Prerequisites
- Basic understanding of AI and machine learning concepts
- Familiarity with Python programming
- Access to OpenAI API (free or paid tier)
What You'll Be Able to Do After
- Design and optimize effective prompts for diverse applications
- Integrate ChatGPT into workflows using APIs and plugins
- Customize and fine-tune language models for specific tasks
- Build and deploy ChatGPT-powered applications like chatbots and summarization tools
- Earn an industry-recognized certificate to advance roles in AI development, NLP engineering, or automation