Dhruv Rathee’s ChatGPT course has gained massive attention, especially among beginners who want to understand AI tools quickly. His communication style is simple, and the lessons are easy to follow. But like any introductory course, it has limitations that many learners only notice after joining.
This article highlights those gaps so learners can understand what the course does well and where it might feel insufficient.
Limited Depth for Intermediate or Advanced Users
The course is mainly designed for beginners
The lessons focus on ChatGPT basics, writing simple prompts, and performing everyday tasks. Learners who already use AI tools may find the content too elementary.
Technical concepts are simplified
More complex topics such as model architecture, API integration, automation pipelines, and fine-tuning are not explored deeply. Those aiming for technical or advanced AI work may feel the coverage is too light.
Limited Coverage of Real-World AI Applications
Focus stays on simple productivity examples
Most demonstrations relate to writing emails, drafting notes, and generating ideas. The course does not expand much into professional use cases like:
- Marketing automation
- Data analysis
- Coding with AI
- Large-scale content workflows
- AI for research or domain-specific projects
These areas require deeper case studies, which the course does not currently include.
Not enough structured project work
Many AI learners benefit from guided projects and hands-on tasks. While the course offers demonstrations, it includes fewer portfolio-ready exercises that help learners showcase their skills.
No Deep Dive into Prompt Engineering
Missing advanced prompting strategies
The course explains how to write basic prompts but does not cover advanced prompt engineering techniques such as:
- Chain-of-thought prompting
- System instructions
- Role-based prompt structures
- Data extraction prompts
- Multi-step iterative prompting
These skills are essential for professionals who want to use AI more effectively.
No coverage of automation tools
The course does not introduce tools such as Zapier, Make, or browser automation setups that combine ChatGPT with external systems. For anyone exploring advanced productivity, these integrations are crucial.
Course Content May Not Stay Updated
AI tools evolve faster than recorded lessons
ChatGPT and other AI tools release new features frequently. A static course can become outdated if updates are not added regularly.
Some tools shown may change or become paid
Features demonstrated in the lessons might not remain accessible forever, which affects the practicality of the course content.
Lack of Assessment or Skill Evaluation
No quizzes or structured follow-up
Most professional AI courses include skill checks, assignments, and mini-projects. This course leans more toward learning through watching, which may reduce accountability and skill retention.
No personalised support or mentoring
Learners who need direct guidance or feedback must look for external support, as the course does not offer structured doubt-clearing or mentoring sessions.
Comparison Table: What’s Covered vs What’s Missing
| Feature / Topic | Covered in Course | Missing or Limited |
|---|---|---|
| ChatGPT Basics | Yes | — |
| Prompt Writing | Basic | Advanced frameworks |
| Productivity Use Cases | Yes | Industry-specific tasks |
| Real Projects | Few examples | Portfolio-level practice |
| Automation with AI | No | Zapier, Make, APIs |
| Technical Concepts | Minimal | Deeper model understanding |
| Regular Content Updates | Not guaranteed | Needed for fast-changing AI |
Additional Learning Resources for Advanced Growth
Learners seeking deeper knowledge can supplement the course with advanced resources such as:
- OpenAI Learning Hub: https://platform.openai.com/docs
- Google AI Learning: https://ai.google/education/
- Coursera AI Foundation Courses: https://www.coursera.org/browse/data-science/ai
These offer better depth, technical frameworks, and real-world applications.
Where the Course Still Helps and What You May Need Beyond It
The course is strong for:
- Beginners
- Students
- First-time AI users
- Individuals trying to improve daily productivity
However, learners aiming for career-focused AI skills, automation workflows, or advanced prompt engineering should continue with additional structured learning. You can explore more AI-related resources on Japture to build a more complete learning roadmap.