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Technology & IT
Certification course on Prompt Engineering
Learn from : RAMPRAKASH SINGARAVEL
Data science, Artificial Intelligence, Prompt Action, Data Analysis, Linux, cloud, Deep Learning
Course Language: English
Course Fee
$76.00
Course Fee
$76.00
Instructor Bio:
Ramprakash S Assistant Professor | Faculty in Computer Science Domain,Resource Person in Data Science, Data Analytics, Tableau, IoT ,Cloud and all Open Source Softwares, Motivational Speaker Thiruvarur, Tamil Nadu, India With over a decade at Anna University, my passion lies in cultivating the next wave of tech innovators through a rich curriculum in computer science and practical data science applications. Top Skills Microsoft Azure Data Analytics Library Instruction Certifications Microsoft Certified: Azure AIEngineer Associate Google Digital unlocked Deep Learning with TensorFlow
VIEW FULL PROFILE4 Weeks
30
DAILY
Post Course Support
- Assignments
- Forums
- Quizzes
- Resources
- Recorded Session Videos
Course Description:
Here's a 30-day course summary on "Prompt Engineering", organized with incremental learning and practical exercises. This is suitable for beginners to intermediate learners and focuses on building foundational knowledge, developing prompting techniques, and exploring advanced applications across domains.
- Foundations of Prompt Engineering
2. Intermediate Prompting Techniques
3. Advanced Prompting & Use Cases
4. Specialized Topics & Final Project
Course Curriculum:
Week 1: Foundations of Prompt Engineering
Day 1: Introduction to Prompt Engineering
Day 2: Understanding Language Models
Day 3: Basic Prompt Structures
Day 4: Prompt Guidelines and Best Practices
Day 5: Temperature, Top-p, and Other Parameters
Day 6: Hands-On: Prompt Tuning Basics
Day 7: Weekly Project
Week 2: Intermediate Prompting Techniques
Day 8: Chain-of-Thought (CoT) Prompting
Day 9: Role-based Prompting
Day 10: Prompt Templates
Day 11: Prompt Debugging
Day 12: Evaluation Metrics
Day 13: Prompt Engineering Tools
Day 14: Weekly Project
Week 3: Advanced Prompting & Use Cases
Day 15: Multi-step & Recursive Prompting
Day 16: Agent-based Prompting
Day 17: Prompting for Coding Tasks
Day 18: Prompting for Data Analysis
Day 19: Prompting for Creative Applications
Day 20: Prompting for Business Applications
Day 21: Weekly Project
Week 4: Specialized Topics & Final Project
Day 22: Retrieval-Augmented Generation (RAG)
Day 23: Safety & Bias in Prompting
Day 24: Prompt Compression and Token Efficiency
Day 25: Automation and Scaling Prompts
Day 26: A/B Testing Prompts
Day 27: Prompt Engineering for Multimodal Models
Day 28: Creating Prompt Libraries
Day 29: Final Project Work
Day 30: Final Project Showcase & Review
Earn a Course Completion Certificate
Add this certificate in your LinkedIn Profile, resume or share it on social media platforms. It helps validate the learner’s knowledge and skills, boosting their resume and increasing their employability.
