SUPREME ICT ACADEMY

AI+ Prompt Engineer Level 2™

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Lectures : 31
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 AC-1302

Mastering Advanced Techniques for Effective AI Prompting

  • Prompt Mastery: Learn to design, refine, and optimise prompts across AI applications
  • Hands-On Learning: Gain practical experience with advanced tools for prompt integration
  • Real-World Focus: Solve real-world challenges using AI-driven prompt solutions
  • Advanced Curriculum: Emphasises experimentation, project execution, and innovation
  • Leadership-Oriented: Ideal for professionals bridging the gap between AI innovation and application.

Why This Certification Matters

Master Advanced AI Prompting: The AI+ Prompt Engineer Level 2™ certification teaches developers to craft and optimize AI prompts for various applications.
In-demand Expertise: As AI adoption grows, businesses seek professionals skilled in integrating prompt engineering into AI solutions.
Driving AI Innovation: This certification helps professionals create impactful AI-driven solutions through effective prompt engineering.
Lead AI Development: Certified Prompt Engineers enhance AI performance and contribute to innovative applications across industries.
Competitive Advantage: With increasing demand for skilled prompt engineers, this certification boosts your career prospects in the AI field.

At a Glance: Course + Exam Overview

Program Name
AI+ Prompt Engineer Level 2™
Included
Included Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
  • Instructor-Led: 5 days (live or virtual)
  •  Self-Paced: 40 hours of content
Prerequisites
Prerequisites Basic understanding of AI concepts, RESTful services, Python familiarity,
Exam Format
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Delivery Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience

Who Should Enroll

  • AI Developers: Enhance your prompt engineering skills and optimize AI-driven applications for diverse use cases.
  • Machine Learning Enthusiasts: Learn how to fine-tune models and improve AI performance with advanced prompting techniques.
  • Tech Professionals: Integrate cutting-edge prompt engineering strategies into your AI solutions for greater impact.
  • Students & New Graduates: Gain expertise in prompt engineering and boost your career prospects in the fast-growing AI field.
  • AI Researchers & Practitioners: Deepen your knowledge of AI models and develop advanced prompt engineering techniques for real-world applications.

Prerequisites

  • Familiarity with at least one programming language (Python recommended).
  • Basic knowledge of RESTful services and API interactions.
  • Basic understanding of AI concepts and language models.

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

  • Introduction to Prompt Engineering – 10%
  • Advanced Prompt Design and Engineering – 15%
  • Experimentation and Optimization – 15%
  • Designing Advanced Strategies for Prompt Engineering – 15%
  • Integration with Development Tools – 15%
  • Applications of Prompt Engineering in Various Domains – 15%
  • Project-Based Learning: Real-World AI Projects – 15%

What is the AI+ Prompt Engineer Level 2™ Certification about?
This course dives into advanced prompt engineering techniques for AI models, focusing on optimizing prompts for better AI responses.
Who should take this course?
AI developers, data scientists, and content creators who have completed basic prompt engineering courses and want to advance their skills.
What advanced techniques will I learn?
You’ll explore advanced techniques like few-shot prompting, chain-of-thought prompting, and AI prompt optimization for complex models.
What industries benefit from this knowledge?
Industries like AI development, content creation, and AI research benefit from better prompt engineering.
What kind of projects will I work on?
You will work on projects that include optimizing AI-generated content and enhancing AI tools for business applications.