Generative AI Course
Live

Generative AI Course

4500 EG
Icon for IntermediateIntermediate
6 Weeks

 

 

LLM Bootcamp: Build Practical Skills in Generative AI

 

For developers, data scientists, and technology professionals looking to advance their expertise in generative AI, the LLM Bootcamp offers a project-based, intensive program designed to equip you with practical, in-demand skills for AI development.

 

Delivered online through live sessions and guided by expert instructors, this artificial intelligence bootcamp combines theoretical foundations with hands-on applications of LLM AI. Participants will gain the confidence and competence to design, build, and deploy intelligent agents powered by large language models.

 

Across six structured modules and a final project, the program provides comprehensive coverage—from Python fundamentals to advanced agent orchestration with LangChain and n8n.

Designed for working professionals, this AI bootcamp blends interactive weekly sessions with real-world projects, ensuring mastery of modern AI tools, workflows, and deployment strategies.

 

 

 

 

 

📞 Phone: Here
💬 WhatsApp: Here

 

 


 

 

Why Focus on LLMs and Generative AI?

 

Large language models are now a cornerstone of artificial intelligence, driving innovation across industries. From automating workflows to powering advanced retrieval systems and intelligent assistants, LLM AI is reshaping how organizations operate.

 

This LLM bootcamp empowers participants with structured knowledge and applied practice, enabling them to build deployable AI agents that integrate memory, retrieval, and multi-agent collaboration—skills that are in high demand in today’s AI development landscape.

 

 

 

 

 

 

Course Highlights:

 

1. Python and math warmup for AI development

2. Foundations of embeddings, transformers, and LLM AI

3. Prompt engineering and API integrations (OpenAI, Cohere, etc.)

4. RAG systems: vector stores, retrieval logic, embedding models

5. Agent systems with LangChain, AutoGen, and memory integration

6. Multi-agent orchestration and task decomposition

7. Optional module on multimodality (vision, audio, etc.)

8. Final project: a fully working AI agent, GitHub-ready and deployable

 

 

 

 

 

 

 

📞 Phone: Here
💬 WhatsApp: Here

 

 

 

 

 

In-Depth Course Topics:

 

1. Orientation, diagnostics, and warmup in Python and mathematics

2. Core LLM AI concepts and practical applications of embeddings

3. Advanced prompt engineering and effective use of APIs

4. Retrieval-augmented generation with structured retrieval pipelines

5. Building and orchestrating agent systems with LangChain and AutoGen

6. Designing multi-agent workflows for complex tasks

7. Exploration of multimodal inputs (optional)

8. Final project demonstrating end-to-end agent development

 

 

 

 

 

Why Choose This Artificial Intelligence Bootcamp?

 

✔  The program is specifically designed for professionals seeking practical, hands-on expertise in generative AI. With a strong focus on building and deploying rather than theory alone, participants graduate from this AI bootcamp with a complete, real-world AI agent project.

 

✔  With interactive weekly sessions and recorded materials for flexibility, the LLM bootcamp ensures participants gain structured instruction, lasting reference resources, and the applied skills needed for success in modern AI development.

 

 

 


 

 

Key Details:

 

Date: 27 Dec 25 - 26 Feb 26

Duration: 40 Hours

Format: Online / Sunday and Tuesday

Specialty: Software

Participants: Developers, data scientists, and technology professionals

 

 

 

 

📞 Phone: Here
💬 WhatsApp: Here

 

 


 

 

pin iconWhat you will learn in this course
Python fundamentals for AI development
Building with embeddings, transformers, and LLM AI
Engineering prompts and integrating APIs
Implementing retrieval-augmented generation
Designing and deploying intelligent agents
Coordinating multi-agent systems and task decomposition

Experienced Instructors

  • avatar

    Eng. Mohamed Lotfy

    Instructor