Description
Description
Global Certification Program
- Globally lifetime Valid Certification
- Lifetime Valid Certification
- AI based Roleplay & Simulations
- Two Exam Attempts
Introduction
Generative AI Foundation Certification
Earning the Generative AI Foundation Certificate from GSDC is your key to becoming a certified generative AI foundation specialist.
This certification equips you to harness generative AI’s potential. In today’s tech-driven environment, the Generative AI Foundation Certification empowers you with the expertise and credentials necessary to excel in this ever-evolving field, making you a certified generative AI foundation professional ready for the dynamic demands and opportunities of the industry.
Learning Objective
❑ Validate practical AI skills and knowledge.
❑ Empower professionals with practical AI capabilities.
❑ Foster AI talent and skill development.
❑ Address the industry’s growing need for AI expertise.
❑ Amplify AI applications and business potential.
Curriculum
1. Foundations of AI and Machine Learning
• Overview of Traditional Artificial Intelligence
• Core Concepts of Artificial Intelligence
• Fundamentals of Machine Learning and its Algorithms
• Introduction to Deep Learning and Neural Networks
• Understanding Generative vs. Discriminative Models
• Differentiating Between Discriminative and Generative Approaches
2. Introduction to Generative AI
• What is Generative AI? Definition and Capabilities
• Evolution and Impact of Generative AI in Industry
• Understanding Foundation Models and Their Role
• Introduction to Transformers and Self-Attention Mechanism
• Mastering the Art of Prompt Engineering
• Types and Applications of Generative AI Across Sectors
3. Advanced Concepts in Generative AI
• Introduction to Large Language Models (LLMs)
• The Development and Evolution of LLMs
• Strategic Advantages of Deploying LLMs
• Importance of Fine-Tuning and Model Customization
• Exploring Key Applications: Text Generation, Summarization, Code, Media
• Real-World Case Studies Using LLMs
4. Tools and Platforms for Generative AI
• Navigating Generative AI Studio for Rapid Prototyping
• Building Applications Using Gen App Builder
• Introduction to MakerSuite Interface
• Accessing and Using the PaLM API
• Setting Up and Deploying Models with Cloud Integration
• Foundational Thinking and Planning in Agentic Agents
• Use Cases: Multi-step Task Completion, Autonomous Workflows
5. Generative AI Evolved: The Rise of Agentic AI
• What is Agentic AI and How Does It Work?
• Key Differences Between Agentic and Generative AI
• Internal Mechanisms and Reasoning Loops of Agentic Systems
6. Human-AI Collaboration and Prompt Engineering Best Practices
• Principles of Human-Centered AI Interaction
• Crafting Contextual and Specific Prompts
• Prompt Iteration and Optimization
• Avoiding Hallucinations and Enhancing Output Relevance
• Case Studies in Human-AI Co-Creation
7. Ethical, Regulatory, and Responsible AI Use
• Understanding Bias, Fairness, and Transparency
• Ethical Considerations in Generative AI Deployment
• AI Governance and Regulatory Frameworks (e.g., EU AI Act)
• Responsible Development and Deployment Practices
• Ensuring Security, Privacy, and Intellectual Property Compliance
8. Personalized Mentorship and Strategic Guidance
• One-on-One Mentor Connect with Subject Matter Expert
• A personalized 1-hour session with a seasoned Generative AI professional
• Get tailored answers to your technical questions or project challenges
• Discuss prompt tuning, application design, or enterprise use cases
• Receive strategic insights for certification, research, or product development
9. Real-World Applications, Certification Prep & Resources
• Hands-on Projects: Chatbots, Content Generators, AI Agents
• Certification Preparation: Google Generative AI, OpenAI Developer, etc.
• Templates and Prompt Libraries for Rapid Deployment
• Model Evaluation Techniques and Output Testing
• Case Studies from Healthcare, Finance, Marketing, and Education
• Access to AI-Powered Development Toolkits and APIs
