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Prompt Engineering Training

Course syllabus
Price: $500 - $600
  • Module 1: Introduction & AI Theory
  • Module 2: Crafting Effective Prompts
  • Module 3: Programming Foundations
  • Module 4: Data Handling in Prompt Engineering
  • Module 5: NLP Techniques for Prompt Engineering
  • Module 6: Model Customization and Ethical Considerations

Key Highlights

 Expert instructors with real-world experience in the field

 Hands-on learning opportunities to apply theoretical concepts

 Practical assignments and projects to develop skills

 Access to industry-specific tools and resources

 Networking opportunities with professionals in the field

 Personalized feedback and support from instructors

 Flexible scheduling options to accommodate busy lifestyles

About Prompt Engineering

  • The Prompt Engineering certification course is designed to equip individuals with the essential skills and knowledge required to excel in the dynamic field of artificial intelligence. This comprehensive program offers a blend of theoretical learning and hands-on experience, ensuring participants are well-prepared to navigate the evolving technological landscape. Enrolling in this course gives students access to cutting-edge curriculum, experienced instructors, and a collaborative learning environment that fosters growth and innovation in prompt engineering.

Prompt Engineering Course Content

  • Description of Prompt Engineering Certification Course

    The Prompt Engineering certification course delves into the intricacies of crafting effective queries or prompts to elicit desired responses from AI models. This hands-on training program covers programming languages like Python, practical projects applying prompt engineering techniques to real-world scenarios, and ethical considerations in AI, ensuring a well-rounded understanding of prompt engineering principles and their applications in artificial intelligence.
  • Reason to Begin Your Career in AI

    According to Statista, the artificial intelligence (AI) market is not just growing; it's exploding with potential. Its value of nearly 100 billion U.S. dollars is expected to grow twentyfold by 2030, up to almost 2 trillion U.S. dollars. This rapid growth opens up exciting opportunities for those skilled in prompt engineering, making it the perfect time to embark on a career in AI. The global prompt engineering market size was estimated at USD 222.1 million in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 32.8% from 2024 to 2030.

    According to Glassdoor, the average salary for an AI Prompt Engineer in the United States is $1,49,685 annually. The average additional cash compensation for an AI Prompt Engineer in the United States is $36,786, ranging from $27,589 to $51,500. Salaries estimates are based on 29 salaries submitted anonymously to Glassdoor by AI Prompt Engineer employees in the United States.

  • Training and Placement of Prompt Engineering:

    At Prompt Engineering, we offer specialized training programs to enhance your skills and expertise in engineering. Our courses are led by experienced professionals with decades of experience in training learners and who have trained 5,000+ students. Moreover, our hands-on training approach ensures practical learning and mastery of essential concepts. Our training provider is also committed to providing comprehensive support throughout your learning journey, including career counseling and placement assistance.
  • Prompt Engineering Certifications

    Earning your Prompt Engineering certification through Suelkha unlocks many benefits that propel you toward a successful AI and language processing career. Suelkha's program prepares you for a leading Prompt Engineering certification exam, validating your proficiency to potential employers and recruiters. This distinguished credential sets you apart from the competition and demonstrates your commitment to excellence in the field.

    This program is ideal for:

    • Developers

    • Content creators

    • Marketers

    • Designers

    • Anyone passionate about the potential of AI

    What you'll learn:

    • A strong foundation in STEM disciplines to excel in prompt engineering

    • Expertise in programming languages like Python for crafting and optimizing prompts

    • Understanding data handling techniques to work effectively with AI systems and generative AI tools.

    • Knowledge of Natural Language Processing (NLP) for creating prompts that elicit desired responses from AI models

    • Ability to customize AI models to suit specific requirements and optimize their performance

    • Understanding ethical considerations in AI and prompt engineering to ensure responsible and ethical use of AI technologies

Prompt Engineering Course Syllabus

  • Module 1: Introduction & AI Theory

    Covers the fundamentals of prompt engineering and AI theory

    •  Introduction to prompt engineering and AI theory.

    •  Understanding the six key elements of a prompt.

    •  Formalizing prompts for effective communication with AI models.

  • Module 2: Crafting Effective Prompts

    Focuses on techniques for creating prompts that elicit desired responses from AI models

    • Techniques for crafting prompts that elicit desired responses.

    • Optimizing prompts for improved model behavior and performance.

    • Shaping interactions between humans and AI through prompt engineering.

  • Module 3: Programming Foundations

    Builds a strong foundation in programming languages like Python for prompt engineering tasks

    • Building a foundation in programming languages like Python.

    • Applying programming skills to prompt engineering tasks.

  • Module 4: Data Handling in Prompt Engineering

    Explores data handling techniques and their application in prompt engineering

    • Working with data to create effective prompts for AI models.

    • Analyzing and processing data to optimize prompt performance.

  • Module 5: NLP Techniques for Prompt Engineering

    Delves into Natural Language Processing (NLP) concepts and their relevance in prompt engineering.

    • Exploring Natural Language Processing (NLP) concepts relevant to prompt engineering.

    • Leveraging and Implementing NLP techniques  

  • Module 6: Model Customization and Ethical Considerations

    Covers the customization of AI models and addresses ethical considerations in prompt engineering practices.

    • Customizing AI models

    • Addressing ethical considerations 

    • Practical projects focusing on model customization and ethical, prompt engineering practices

Contact us

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