Generative AI Diploma

Overview

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Learning Outcomes

• Explaining the fundamentals of Deep Learning, Transformers, and Generative AI.
• Comparing different LLM models (Open-Source and Hosted) in terms of performance, cost, and use cases.
• Using Hugging Face and Hosted APIs to build text generation and chat applications.
• Applying best practices in Prompt Engineering to create effective prompts that support instruction following and multi-step reasoning.
• Designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector databases and embeddings.
• Building AI agents using modern agent frameworks and integrating tools.
• Developing Generative AI applications using LangChain and connecting them with LangSmith for evaluation and monitoring purposes.
• Using no-code tools like LangFlow to accelerate prototype development.
• Delivering a Capstone Project demonstrating the design and implementation of a complete Generative AI application from start to finish.

Who should Enroll

• Participants interested in understanding, building, and deploying Generative AI applications

Course Requirements

• Proficiency in Python
• Basic understanding of Machine Learning / Deep Learning principles

Instructor

محمد عبدالجواد

An AI and Automation Software Technical Lead at Vodafone with 6+ years of experience driving innovation through AI, automation, and software engineering. Experienced in designing intelligent systems, optimizing workflows, and delivering scalable solutions that create measurable business impact. Combining strong technical expertise with real-world enterprise experience to bring practical insights into the future of AI-driven automation

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