This course is designed to equip learners with the essential skill of AI prompting—the ability to communicate effectively with AI systems to achieve accurate and meaningful results. Students will learn how to craft precise instructions, apply advanced prompting techniques, and adapt their skills across multiple domains including creative writing, coding, design, education, and problem-solving. Through guided, hands-on practice with leading AI tools, this course emphasizes practical application, ensuring that learners can confidently use AI to enhance productivity, creativity, and innovation in real-world scenarios.
In this course, students will explore how to think, create, and communicate effectively with AI tools. By learning structured prompting techniques and experimenting with multiple platforms, they will gain the confidence to use AI for both creativity and productivity.
Understand the fundamentals of AI prompting and why it matters.
Learn effective prompting strategies for text-based tools like ChatGPT, Claude, Gemini, Copilot etc
Explore image generation tools such as MidJourney, DALL·E, etc
Use AI coding assistants like GitHub Copilot to simplify programming.
Work on real-world projects (creative writing, art design, research, coding tasks, etc.)
Practice refining prompts for accuracy, creativity, and efficiency
Develop critical thinking to evaluate and improve AI-generated outputs
Total Duration: 30 – 40 sessions (Each session is approx 1 hour)
Payment Structure: Payment is collected in 10-class cycles, and each cycle’s payment must be made in advance. (Note : If you wish to purchase the entire course in full, please contact our team for assistance and payment options)
ForSyntax cultivates coding skills, collaboration, and confidence in kids, setting them up for future academic and creative success
ForSyntax offers project-driven training in AI, machine learning, generative AI, MLOps, game development (Unity & Unreal), mobile apps (Flutter & React Native), Python automation, and cloud-native engineering. Through mentor-led labs, real-world capstones and deployment pipelines, learners from beginners to working professionals build portfolio-ready projects and the production skills hiring teams demand.
