Master AI Prompt Engineering: ChatGPT to Image Generation Certification

Master the art of prompt engineering with our expert-led AI prompt engineering course designed specifically for leveraging advanced language models like ChatGPT. This comprehensive course equips you with essential skills in crafting precise prompts for diverse applications including creative writing, SEO content creation, image generation, and more. Elevate your proficiency in digital communication by enrolling today.

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Certified Prompt Engineer Play video
We price match

Public Pricing

MYR 5250

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 19500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 7600 ++

Certification

Certified ChatGPT Prompt Engineer
Certified ChatGPT Prompt Engineer
CCSD
Validity: 2 years
Price: $149.00

Features

3 days
24 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
managers
executives

Methodologies

slides
labs
case studies
group discussion
exam
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Explore advanced techniques in role-based and chain-of-thought prompting.
  • Understand the fundamentals of GPTs and their applications.
  • Learn effective strategies for crafting prompts using ChatGPT.
  • Develop skills in iterative improvement of prompts through hands-on exercises.
  • Utilize ChatGPT for productivity enhancements such as task management.
  • Gain proficiency in transforming text formats and adjusting tone.
  • Create compelling content across various media including text-to-image generation.

Why should you attend?

The AI prompt engineering course provides an in-depth exploration of prompt engineering, focusing on the utilization of advanced language models like ChatGPT and other open-source large language models (LLMs). Participants will begin with a foundational understanding of GPTs and their diverse applications, setting the stage for mastering the art of crafting effective prompts. The AI prompt engineering course delves into the five pillars of prompt engineering, which include providing examples, giving direction, adjusting parameters, formatting responses, and chaining AIs to achieve desired outcomes. As learners progress, they will gain insights into the specific capabilities and limitations of ChatGPT. The prompt engineer course emphasizes effective prompting techniques such as role-based prompting and chain-of-thought (COT) strategies. Best practices for zero-shot and few-shot prompting are also covered to enhance participants' ability to generate accurate and contextually relevant outputs. Hands-on exercises are integral to this prompt engineer course, allowing students to iteratively improve their prompts through summarization and extraction tasks. Additionally, learners will explore inferring from text, transforming text formats, correcting grammar, and adjusting tone. The AI prompt course also covers responding to sentiment analysis and crafting customer support emails or marketing scripts. Advanced topics include using ChatGPT for productivity tools like task management and generating meeting agendas. Creative writing techniques are explored alongside SEO-optimized content creation. Finally, participants will engage with cutting-edge technologies such as text-to-image generation using platforms like Midjourney and Dall-E, as well as text-to-speech and video generation tools. By the end of the AI prompt course, learners will have developed a comprehensive skill set in prompt engineering across various media.

Course Syllabus

Day 1 - Prompt Engineering Fundamentals
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - ChatGPT Prompting Techniques
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Advanced Text Applications
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years

Instructor Reviews

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

FAQ

Frequently Asked Questions About This Course

Why should you attend?

The AI prompt engineering course provides an in-depth exploration of prompt engineering, focusing on the utilization of advanced language models like ChatGPT and other open-source large language models (LLMs). Participants will begin with a foundational understanding of GPTs and their diverse applications, setting the stage for mastering the art of crafting effective prompts. The AI prompt engineering course delves into the five pillars of prompt engineering, which include providing examples, giving direction, adjusting parameters, formatting responses, and chaining AIs to achieve desired outcomes. As learners progress, they will gain insights into the specific capabilities and limitations of ChatGPT. The prompt engineer course emphasizes effective prompting techniques such as role-based prompting and chain-of-thought (COT) strategies. Best practices for zero-shot and few-shot prompting are also covered to enhance participants' ability to generate accurate and contextually relevant outputs. Hands-on exercises are integral to this prompt engineer course, allowing students to iteratively improve their prompts through summarization and extraction tasks. Additionally, learners will explore inferring from text, transforming text formats, correcting grammar, and adjusting tone. The AI prompt course also covers responding to sentiment analysis and crafting customer support emails or marketing scripts. Advanced topics include using ChatGPT for productivity tools like task management and generating meeting agendas. Creative writing techniques are explored alongside SEO-optimized content creation. Finally, participants will engage with cutting-edge technologies such as text-to-image generation using platforms like Midjourney and Dall-E, as well as text-to-speech and video generation tools. By the end of the AI prompt course, learners will have developed a comprehensive skill set in prompt engineering across various media.


What you'll learn

  • Explore advanced techniques in role-based and chain-of-thought prompting.
  • Understand the fundamentals of GPTs and their applications.
  • Learn effective strategies for crafting prompts using ChatGPT.
  • Develop skills in iterative improvement of prompts through hands-on exercises.
  • Utilize ChatGPT for productivity enhancements such as task management.
  • Gain proficiency in transforming text formats and adjusting tone.
  • Create compelling content across various media including text-to-image generation.

Course Syllabus

Day 1 - Prompt Engineering Fundamentals
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - ChatGPT Prompting Techniques
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
Day 3 - Advanced Text Applications
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3

Instructor Reviews

Mohammad Mehdi Lotfinejad

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

We price match

Public Pricing

MYR 5250

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 19500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 7600 ++

Certification

Certified ChatGPT Prompt Engineer
Certified ChatGPT Prompt Engineer
CCSD
Validity: 2 years
Price: $149.00

Features

3 days
24 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
managers
executives

Methodologies

slides
labs
case studies
group discussion
exam
q&A

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years

FAQ

Frequently Asked Questions About This Course

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