AI and Prompt Engineering
Offline or Online AI and Prompt Engineering training course.
This comprehensive training course explores the rapidly evolving field of prompt engineering for large language models (LLMs) and other AI systems.
Students will develop a strong foundation in AI concepts while mastering practical prompt engineering techniques to effectively communicate with and leverage modern AI systems across various applications.
Manoj S. Mahajan
28+ years Experienced Trainer with 100+ certs, View full profile....
Course Description
This course provides a comprehensive introduction to the world of Generative AI and the critical skill of prompt engineering. Students will learn the fundamentals of how Large Language Models (LLMs) work and master the art and science of crafting effective prompts to achieve desired outcomes.
This course is tailored for beginner to intermediate students, assuming they have basic IT knowledge (e.g., familiarity with computers, basic programming concepts, and internet usage) but little to no prior experience with AI or prompt engineering.
Audience:
- Software developers, Content creators, Product managers, UX/UI designers, Technical writers, Business analysts
- Students and enthusiasts curious about how to effectively use tools like ChatGPT, Gemini, Claude, and Midjourney.
- Anyone who wants to move from a casual user to a power user of Generative AI.
Prerequisite:
- Basic understanding of cloud computing concepts.
- Curiosity about AI technologies
- No programming experience required, though basic understanding is helpful
- No prior AI/ML knowledge required
Syllabus
Please check the syllabus tab above. ☝What You'll Learn
Module 1: Introduction to Artificial Intelligence
Understanding AI Fundamentals
- Overview of AI, Machine Learning, and Deep Learning
- AI applications across industries
- What AI can and cannot do
- AI terminology and key concepts
- AI ethics, governance, and responsible AI
Machine Learning Basics
- Supervised vs. Unsupervised Learning
- Introduction to Neural Networks
- Understanding training data and model performance
Lab
- Exploring AI tools and identifying AI use cases in your organization
Module 2: Generative AI and Large Language Models
Introduction to Generative AI
- What is Generative AI and how it differs from traditional AI
- Large Language Models (LLMs) explained
- How LLMs work: tokens, context windows, and training
- Popular LLM platforms: ChatGPT, Claude, Gemini, Copilot
Understanding Model Capabilities
- Text generation and completion
- Summarization and translation
- Code generation and debugging
- Multimodal AI: text, images, and audio
- Limitations and hallucinations
Lab
- Hands-on exploration of different LLM platforms and their capabilities
Module 3: Foundations of Prompt Engineering
What is Prompt Engineering
- Definition and importance of prompt engineering
- English as a programming language
- Key elements of an effective prompt
- Understanding model behavior and response patterns
Basic Prompting Techniques
- Zero-shot prompting
- One-shot prompting
- Few-shot prompting
- Crafting clear, specific, and context-aware prompts
Prompt Components
- Instructions, context, and examples
- Input data and output indicators
- Controlling tone, style, and format
- Common pitfalls and how to avoid them
Lab
- Crafting basic prompts for various tasks (summarization, content creation, data extraction)
Module 4: Advanced Prompting Techniques
Pattern-Based Prompting
- Persona Pattern: role-playing for better responses
- Interview Pattern: extracting information systematically
- Template Pattern: creating reusable prompt structures
Chain-of-Thought (CoT) Prompting
- Understanding reasoning in LLMs
- Step-by-step problem solving
- Breaking down complex tasks
Advanced Techniques
- Tree-of-Thought approach
- Prompt chaining and workflows
- Controlling verbosity and output length
- Iterative refinement and debugging
- Context engineering
Prompt Optimization
- Testing and evaluating prompt effectiveness
- LLM optimization techniques
- Performance measurement and iteration
Lab
- Implementing advanced prompting patterns for business scenarios
Module 5: Practical Applications and Tools
Domain-Specific Applications
- Content creation and marketing
- Data analysis and sentiment analysis
- Code generation and programming assistance
- Research and information synthesis
- Document processing and automation
AI Tools and Platforms
- Introduction to prompt engineering tools
- GitHub Copilot for developers
- LangChain and AI orchestration
- Workflow automation tools (n8n, Zapier)
Multimodal Prompting
- Working with images and text
- Audio and video integration
- Cross-platform prompting strategies
Lab
- Building end-to-end AI workflows for specific business use cases
Module 6: Real-World Implementation
Building AI Projects
- Workflow of an AI project
- How to choose the right AI project
- Working with AI teams
- AI transformation strategies
Best Practices
- Prompt libraries and documentation
- Version control for prompts
- Collaborative AI workflows
- Quality assurance and testing
AI and Business Strategy
- Identifying AI opportunities in organizations
- ROI and success metrics
- Change management for AI adoption
Lab
- Developing an AI implementation plan for a specific business challenge
Module 7: Ethics, Safety, and Future Trends
Ethical Considerations
- AI bias and fairness
- Privacy and data security
- Responsible AI usage
- Transparency and accountability
Safety and Limitations
- Adversarial attacks and prompt injection
- Hallucinations and misinformation
- Content moderation and filters
Future of AI and Prompt Engineering
- Emerging trends in 2025 and beyond
- Conversational AI integration
- Agentic AI systems
- Career opportunities in AI
Poonam
Overall a very informative training session. Course content got well covered and also demonstrated the concept very well. Read more....
Ganesh
It was good experience with trainer and teaching skill good and interact and answering every questions asked by student. Good knowledge and updated with his reliable courses. Read more....
Diptikesh
It was an excellent experience to have a training from Certification Guru. Thank you very much. Read more....
