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Price:
$3,995.00
Days:
1
Virtual
• Analyze and apply effective principles for crafting and optimizing prompts.
• Design advanced prompts for multi-turn interactions, contextual/conditional scenarios, and domain-specific use cases.
• Implement stateful and role-based prompt engineering strategies for adaptive and impactful AI solutions.
• Leverage meta-prompting and autonomous refinement techniques to enhance AI-driven interactions.
• Optimize prompts using automated tools, A/B testing, and reinforcement learning approaches.
• Seamlessly integrate prompts with development tools, repositories, and version control systems.
• Explore innovative applications of prompt engineering across domains such as NLP, business, and creative industries.
• Solve real-world challenges through hands-on projects in AI-driven customer support, personalized content creation, and data analysis.
• Strong programming skills in languages such as Python, Java, or C++
• Proficiency in machine learning frameworks like TensorFlow or PyTorch
• Understanding of algorithms and data structures
• Experience with data preprocessing and data analysis
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
• Knowledge of AI and machine learning concepts and techniques
• Ability to work with large datasets and databases
• Strong problem-solving skills and analytical thinking
• Good communication skills for collaboration with cross-functional teams
• Continuous learning mindset to keep up with AI advancements
– Introduction to Prompt Engineering for Developers
• Overview of Prompt Engineering
• Basics of API Interaction
• Understanding Prompt Structures
• Case Studies and Best Practices
• Hands-on Exercise
– Advanced Prompt Design and Engineering
• Designing Advanced Prompt Techniques
• Designing Multi-Turn Interactions
• Contextual and Conditional Prompting
• Crafting Domain-Specific Prompts
• Contextual and Stateful Prompt Engineering
• Meta-Prompting and Autonomous Refinement
• Hands-on Exercise
– Experimentation and Optimization
• Automated Prompt Optimization Tools
• A/B Testing and Evaluation
• Reinforcement Learning for Prompt Engineering
– Designing Advanced Strategies for Prompt Engineering
• Contextual and Role-Based Prompting
• Adaptive and Multimodal Prompting
– Integration with Development Tools
• Integrating with Popular Development Tools for Prompt Engineering
• Code Repositories and Templates for Prompt Engineering
• Developer Communities and Forums for Prompt Engineering
• Version Control in Prompt Engineering Projects
– Applications of Prompt Engineering in Various Domains
• Natural Language Processing (NLP) Applications using Prompt Engineering
• Business Applications using Prompt Engineering
• Creative Applications using Prompt Engineering
– Project-Based Learning: Real-World AI Projects using Prompt Engineering
• Project 1: AI-Driven Customer Support
• Project 2: Personalized Content Generation
• Project 3: AI in Data Analysis
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4000 Centregreen Way
Suite #140
Cary, NC 27513