Prompt Engineering & AI with ChatGPT: Novice to Expert 2025
This product hasn't been reviewed yet! Be the first to share your experience.
Top alternatives
Reviews, Scores & Student Outcomes
Unclaimed ProfileThis comprehensive masterclass, designed by industry expert Tarek Ahmed, offers an unparalleled deep dive into the world of generative AI and prompt engineering. Navigating from absolute novice concepts to advanced, enterprise-grade methodologies, the course bridges the gap between basic ChatGPT interactions and complex system automations. Students will start by mastering foundational AI terminology, discovering how LLMs process tokens, and understanding the core mechanics of prediction and learning. As the curriculum progresses, learners are introduced to sophisticated techniques including Chain-of-Thought prompting, zero-shot and few-shot paradigms, and dynamic context window management. Tarek Ahmed meticulously guides you through highly technical domains such as neuro-symbolic prompt integration, hyperparameter optimization (adjusting temperature, Top-k, and Top-p sampling), and adversarial prompt defense mechanisms. Real-world applications span diverse sectors, empowering marketers, software developers, HR professionals, and business analysts to automate daily workflows, generate clean code, write optimized copy, and streamline legal compliance. Whether you want to boost your daily productivity or construct autonomous AI agents, this course equips you with the modern prompt engineering toolkit necessary to stay ahead in the rapidly evolving AI landscape of 2025.
About the creator
Tarek Ahmed
View full profileNot found
—
Reviews
Tarek Ahmed is a dedicated technology instructor and software practitioner known for his pragmatic approach to demystifying complex artificial intelligence workflows for modern creators. With a sharp focus on practical application, Tarek has built a reputation for bridging the gap between high-level AI theory and the actual, day-to-day coding tasks that developers face in a rapidly evolving digital landscape. His teaching philosophy centers on the concept of 'Vibe Coding' and prompt-driven architecture, which encourages students to treat AI tools not just as text generators, but as collaborative partners in the production process. Through his comprehensive curriculum, including his flagship course…Show more
Ratings & reviews
This product hasn't been reviewed yet! Be the first to share your experience.
Not enough reviews yet
0 reviews
Rating breakdown
Results mentioned in reviews are individual experiences and are not guaranteed or typical.
Program Overview
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Introduction to Prompt Engineering , What is Prompt Engineering
- AI Key Terms Prompt(Instructions given to AI) Model(AI System Processing the prompt) LLM(AI Trained on vast Data) Token(Smallest Unit of AI Text Processing)
- How AI Models Work : Prediction , Learning & Limitations
- Types of AI Prompts : Instructional , Conversational & Role-Based
- Best Practices for Writing Effective Prompt : Be Specific , Give Context & Define Tone
- Common Mistakes in Prompt Engineering : Vague Prompts (too General)= Weak Answers Too Much (AI gets confused break it up) Ignoring (Refine and Retry Prompts)
- Testing and Refining Prompts : Test Versions (Small Tweaks Improve Answers) Add Details (AI Need Clear Instructions) Iterate(AI get Better with Refinement)
- Chain-of-Thought Prompting : Explain Steps (Force AI to explain step by step) Problem-Solving (Better for logical tasks) Useful(Good for Math and Reasoning)
- Zero-Shot (AI Guess Answer without Examples) versus Few-Shot Prompting (we give AI Examples for training , better and accurate Reponses)
- Role-Playing & Context Setting : Make AI an Expert (Doctor ,Teacher, Developer). Context Improves Responses. Useful for business, learning and Problem solving
- Multi-Step Prompts for Complex Tasks: Break big requests into smaller steps for better performance , AI is better with structured tasks
- Meta-Prompting for Recursive Self Improvements : iteratively refine AI-generated prompts , applications in autonomous AI optimization
- Neuro-symbolic Prompt-Integration (Symbolic Logic , Neural Networks , Hybrid Benefits)
- Adversarial Prompt Defense Mechanisms : Detection , Classification , Neutralization , Adaption Phases
- Hyperparameter Optimization for Prompts : Temperature Control , Top-k sampling , Top-p (Nucleus) Sampling, Repetition Penalties
- Cross-Modal Prompt Engineering : Text Modality , Visual Modality , Code Modality , Audio Modality
- Dynamic Context Window Management: Critical Info(Key context always retained) Recent Info(Near-term memory preserved) Background Info (Compressed for reference)
- Integrating AI into Business & Productivity: integrate into daily routine , Streamline emails , reports & Scheduling , save time and boost productivity
- Prompt Engineering for Coding & Automation : Code Generation(AI Writes & fix Code) Debugging(best with clear errors details) , (specify programming language)
- Key Use Cases for Prompt Engineering Optimization (Workflow across Industries, Real-World applications AI driven prompts , efficiency )
- AI Use Case: Research & Business Analysis : News Summarization , Academic Research , Business Reports
- AI Use Case: Customer Support & Legal (AI Chatbots , Email Writing , Legal and Compliance)
- AI Use Case: Human Resources & Software Development (HR & Recruitment , interview preparation (AI generate Questions)) , Coding & Debugging Writes and fix Code
- AI Use Case : E-Commerce & data Processing
- AI Use Case: Translation , Learning and Marketing
- AI Use Case: Security and Automation
- Ethical AI Prompting : Avoid Bias & Errors : Neutral Questions , Fast Check , Be Mindful
- The Future of AI & Prompt Engineering (Smarter AI , Valuable Skills , AI Assistance)
- How to Stay Ahead in AI & Prompt Engineering
- Final Thoughts & Next Steps in Prompt Engineering
- Final Challenge – Your AI Superpower!
Best For
- Professionals seeking to transition from basic ChatGPT users to advanced AI system architects.
- Software developers and data analysts aiming to integrate LLMs into production workflows.
- Business managers looking to leverage prompt engineering for task automation and operational efficiency.
- Tech-forward individuals who want to master hyperparameter optimization and adversarial prompt security.
Not For
- Individuals seeking a casual, non-technical introduction to generative AI tools.
- Those looking for a course focused solely on no-code AI interface design without underlying technical methodology.
- Learners who have no interest in the mathematical or logical frameworks behind neural network responses.
What's included
Still confused?
Get a reply from the creator within 24 hours.
Top alternatives
Compare Similar Prompt Engineering Programs
Not sure Prompt Engineering & AI with ChatGPT: Novice to Expert 2025 is the right fit? See how it stacks up against the top-rated alternatives in prompt engineering, all rated by verified students.
More categories
Before you buy
Compare alternatives
See how Prompt Engineering & AI with ChatGPT: Novice to Expert 2025 stacks up against top-rated programs in prompt engineering.
Compare nowRun a credibility check
Use AllPros Guru Detector to review trust signals before you spend.
Open Guru Detector