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    AI CERTs®
    AC-130

    AI+ Prompting Fundamentals™

    Formerly known as AI+ Prompt Engineer Level 1™ Master AI Prompts: Elevate Your Engineering Skills

    ₹8,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Prompting Fundamentals™ certification badge

    About this certification

    Foundational Knowledge: Covers generative AI, ML, NLP, and neural networks essentials Hands-on Learning: Offers practical training in designing and optimizing prompts Industry-Relevant Skills: Prepares learners to build effective AI solutions across sectors Prompting Expertise: Certifies participants to craft impactful, domain-specific prompts

    What's included

    Package

    Instructor-led OR Self-paced course + Official exam + Digital badge

    Duration

    • Instructor-Led: 1 day (live or virtual)
    • Self-Paced: 8 hours of content

    Exam format

    50 questions, 70% passing, 90 minutes, online proctored exam

    Prerequisites

    Understand AI basics, Willingness to think creatively to generate ideas and use AI tools effectively.

    Course modules

    Course Overview

    1. Course Introduction Preview

    Module 1: Foundations of Artificial Intelligence (AI) and Prompt Engineering

    1. 1.1 Introduction to Artificial Intelligence Preview
    2. 1.2 History of AI Preview
    3. 1.3 Machine Learning Basics Preview
    4. 1.4 Deep Learning and Neural Networks
    5. 1.5 Natural Language Processing (NLP)
    6. 1.6 Prompt Engineering Fundamentals

    Module 2: Principles of Effective Prompting

    1. 2.1 Introduction to the Principles of Effective PromptingPreview
    2. 2.2 Giving DirectionsPreview
    3. 2.3 Formatting ResponsesPreview
    4. 2.4 Providing Examples
    5. 2.5 Evaluating Response Quality
    6. 2.6 Dividing Labor
    7. 2.7 Applying The Five Principles
    8. 2.8 Fixing Failing Prompts

    Module 3: Introduction to AI Tools and Models

    1. 3.1 Understanding AI Tools and Models Preview
    2. 3.2 Deep Dive into ChatGPT Preview
    3. 3.3 Exploring GPT Preview
    4. 3.4 Revolutionizing Art with DALL-E
    5. 3.5 Introduction to Emerging Tools using GPT
    6. 3.6 Specialized AI Models
    7. 3.7 Advanced AI Models
    8. 3.8 Google AI Innovations
    9. 3.9 Comparative Analysis of AI Tools
    10. 3.10 Practical Application Scenarios
    11. 3.11 Harnessing AI’s Potential

    Module 4: Mastering Prompt Engineering Techniques

    1. 4.1 Zero-Shot Prompting
    2. 4.2 Few-Shot Prompting
    3. 4.3 Chain-of-Thought Prompting
    4. 4.4 Ensuring Self-Consistency in AI Responses
    5. 4.5 Generate Knowledge Prompting
    6. 4.6 Prompt Chaining
    7. 4.7 Tree of Thoughts: Exploring Multiple Solutions
    8. 4.8 Retrieval Augmented Generation
    9. 4.9 Graph Prompting and Advanced Data Interpretation
    10. 4.10 Application in Practice: Real-Life Scenarios
    11. 4.11 Practical Exercises

    Module 5: Mastering Image Model Techniques

    1. 5.1 Introduction to Image Models
    2. 5.2 Understanding Image Generation
    3. 5.3 Style Modifiers and Quality Boosters in Image Generation
    4. 5.4 Advanced Prompt Engineering in AI Image Generation
    5. 5.5 Prompt Rewriting for Image Models
    6. 5.6 Image Modification Techniques: Inpainting and Outpainting
    7. 5.7 Realistic Image Generation
    8. 5.8 Realistic Models and Consistent Characters
    9. 5.9 Practical Application of Image Model Techniques
    10. 5.10 Ethical and Legal Dimensions of AI-Generated Images

    Module 6: Project-Based Learning Session

    1. 6.1 Introduction to Project-Based Learning in AI
    2. 6.2 Selecting a Project Theme
    3. 6.3 Project Planning and Design in AI
    4. 6.4 AI Implementation and Prompt Engineering
    5. 6.5 Integrating Text and Image Models
    6. 6.6 Evaluation and Integration in AI Projects
    7. 6.7 Engaging and Effective Project Presentation
    8. 6.8 Guided Project Example
    9. 6.9 Sample Projects and Evaluation Framework

    Module 7: Ethical Considerations and Future of AI

    1. 7.1 Introduction to AI Ethics
    2. 7.2 Bias and Fairness in AI Models
    3. 7.3 Privacy and Data Security in AI
    4. 7.4 The Imperative for Transparency in AI Operations
    5. 7.5 Sustainable AI Development: An Imperative for the Future
    6. 7.6 Ethical Scenario Analysis in AI: Navigating the Complex Landscape
    7. 7.7 Navigating the Complex Landscape of AI Regulations and Governance
    8. 7.8 Navigating the Regulatory Landscape: A Guide for AI Practitioners
    9. 7.9 Ethical Frameworks and Guidelines in AI Development
    10. 7.10 Future of AI Governance and Responsible Innovation

    Optional Module: AI Agents for Prompt Engineering

    1. 1. What Are AI Agents
    2. 2. Applications and Trends of AI Agents for Prompt Engineers
    3. 3. How Does an AI Agent Work
    4. 4. Core Characteristics of AI Agents
    5. 5. Importance of AI Agents
    6. 6. Types of AI Agents

    Why this certification matters

    Comprehensive AI Knowledge:

    Understand AI fundamentals, including machine learning, deep learning, and natural language processing.

    Advanced Prompt Engineering:

    Master key principles and advanced techniques to craft effective prompts and troubleshoot issues.

    Practical AI Tools and Models:

    Gain hands-on experience with cutting-edge AI tools, text, and image generation models like GPT and DALL-E

    Ethical AI Practices:

    Learn about AI ethics, including data security, privacy, and regulatory compliance to ensure responsible AI use.

    Who should enrol

    Research Scientists: Advance your research with AI by creating and utilizing effective prompts to explore new scientific data and solve complex problems.

    Data Scientists & Analysts: Enhance your ability to optimize machine learning models by mastering prompt engineering for better data analysis and insights.

    Developers & Programmers: Learn to build, refine, and deploy AI-driven applications by creating efficient prompts for improved AI system performance.

    Business Leaders & Strategists: Gain the skills to incorporate AI solutions into business strategies, optimizing processes and decision-making.

    Machine Learning Engineers: Strengthen your expertise by learning how to fine-tune AI prompts to enhance the performance of machine learning models.

    Tools you'll work with

    LangChainLangChain
    OpenAI's GPTOpenAI's GPT
    AI Essentials
    AI Professional

    Interested in AI+ Prompting Fundamentals™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.