Address
Level 8/25 Restwell Street, Bankstown NSW 2200, Australia
Business Hours
Monday to Friday: 10AM - 6PM
Weekend: CLOSED
AI+ Prompt Engineer Level 2™
Formerly known as AI+ Prompt Engineer Level 2™ Mastering Advanced Techniques for Effective AI Prompting
Duration
40 hours (5 Days)
Modules
7
Course type
AI CERTs
Exam
1, 50 MCQs, 90 Minutes, 70% (35/50) passing score
Course Overview
- 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.
Before You Begin
- 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.
Key outcomes
- Design and Optimization of Prompts Demonstrate the ability to craft, refine, and optimize prompts to achieve desired outcomes across different AI applications.
- Advanced Strategies in Prompt Engineering Apply advanced prompt engineering techniques and strategies to solve complex problems and drive innovation in AI systems.
- Integration with Development Tools Showcase proficiency in integrating prompt engineering workflows with development tools, APIs, and programming environments.
- Real-World Applications and Project Execution Implement prompt engineering concepts in real-world scenarios, completing project-based tasks that highlight practical applications across diverse domains.
Tools you’ll use
C
ChatGPT
L
LangChain
B
BetterPrompt
G
GitHub Copilot
Skills you’ll gain
- Advanced Prompt Engineering Techniques
- Crafting and Optimizing Prompts
- Integrating Prompts with Development Tools
- Applying Prompts Across Diverse Domains
- Real-World AI Project Experience
- Advanced Strategies in Prompt Engineering
- Experimentation and Optimization of Prompts
- Creating AI-Driven Solutions
Industry opportunity
- Median salary
- $125000
- With AI skills
- $149000
- Difference
- 19.20
What You’ll Learn
8 modules
1Module 1: Introduction to Prompt Engineering for Developers
1.1 Overview of Prompt Engineering
1.2 Basics of API Interaction
1.3 Understanding Prompt Structures
1.4 Case Studies and Best Practices
1.5 Hands-on Exercise
1.2 Basics of API Interaction
1.3 Understanding Prompt Structures
1.4 Case Studies and Best Practices
1.5 Hands-on Exercise
2Module 2: Advanced Prompt Design and Engineering
2.1 Designing Advanced Prompt Techniques
2.2 Designing Multi-Turn Interactions
2.3 Contextual and Conditional Prompting
2.4 Crafting Domain-Specific Prompts
2.5 Contextual and Stateful Prompt Engineering
2.6 Meta-Prompting and Autonomous Refinement
2.7 Hands-on Exercise
2.2 Designing Multi-Turn Interactions
2.3 Contextual and Conditional Prompting
2.4 Crafting Domain-Specific Prompts
2.5 Contextual and Stateful Prompt Engineering
2.6 Meta-Prompting and Autonomous Refinement
2.7 Hands-on Exercise
3Module 3: Experimentation and Optimization
3.1 Automated Prompt Optimization Tools
3.2 A/B Testing and Evaluation
3.3 Reinforcement Learning for Prompt Engineering
3.2 A/B Testing and Evaluation
3.3 Reinforcement Learning for Prompt Engineering
4Module 4: Designing Advanced Strategies for Prompt Engineering
4.1 Contextual and Role-Based Prompting
4.2 Adaptive and Multimodal Prompting
4.2 Adaptive and Multimodal Prompting
5Module 5: Integration with Development Tools
5.1 Integrating with Popular Development Tools for Prompt Engineering
5.2 Code Repositories and Templates for Prompt Engineering
5.3 Developer Communities and Forums for Prompt Engineering
5.4 Version Control in Prompt Engineering Projects
5.2 Code Repositories and Templates for Prompt Engineering
5.3 Developer Communities and Forums for Prompt Engineering
5.4 Version Control in Prompt Engineering Projects
6Module 6: Applications of Prompt Engineering in Various Domains
6.1 Natural Language Processing (NLP) Applications using Prompt Engineering
6.2 Business Applications using Prompt Engineering
6.3 Creative Applications using Prompt Engineering
6.2 Business Applications using Prompt Engineering
6.3 Creative Applications using Prompt Engineering
7Module 7: Project-Based Learning: Real-World AI Projects Using Prompt Engineering
7.1 Project 1: AI-Driven Customer Support
7.2 Project 2: Personalized Content Generation
7.3 Project 3: AI in Data Analysis
7.2 Project 2: Personalized Content Generation
7.3 Project 3: AI in Data Analysis
8Optional Module: AI Agents for Prompt Engineering
1. What Are AI Agents
2. Applications and Trends of AI Agents for Prompt Engineers
3. Importance of AI Agents
4. Types of AI Agents
2. Applications and Trends of AI Agents for Prompt Engineers
3. Importance of AI Agents
4. Types of AI Agents
Certification & Credentials
Certificate track
40 hours (5 Days)
Exam format
1
Certificate code
AC-1302
Instructor-led OR Self-paced course + Official exam + Digital badge
Frequently asked questions
What is the AI+ Prompting Practitioner™ 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.
| Duration | 40 hours (5 Days) |
|---|---|
| Modules | 7 |
| Course type | AI CERTs |
| Category | AI CERTs |
| Examination | 1 |
| Exam duration | 50 MCQs, 90 Minutes |
| Passing score | 70% (35/50) |
| Certificate code | AC-1302 |
| 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. |
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