Full-Stack AI Professional Program
An advanced, end-to-end program for building production-grade AI systems, agents, and full-stack applications.
- Build AI systems end-to-end, not just isolated models
- Understand real-world architecture used in industry AI products
- Apply MLOps practices for deployment, monitoring, and versioning
- Work with advanced ML and deep learning techniques
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DURATION
70 hours
MODE
Online | Offline | Hybrid
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Course Overview
Strengthen your full-stack AI engineering capabilities with advanced, structured guidance.
The Full-Stack AI Professional Program is the final stage in the AI development pathway.
It is designed for learners who already have strong foundations in machine learning and applied AI, and who now want to build full, production-level systems.
The training covers AI system architecture, MLOps, gradient boosting, deep learning with PyTorch, transformer internals, fine-tuning LLMs, retrieval-augmented generation, advanced workflows with LangChain/LangGraph, agent design, CrewAI multi-agent coordination, MCP protocols, and cloud deployment.
By the end of the program, learners develop a complete AI project from planning to deployment, using modern industry practices.
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Why Choose Full-Stack AI Training in Dubai
This program helps learners:
- Build AI systems end-to-end, not just isolated models
- Understand real-world architecture used in industry AI products
- Apply MLOps practices for deployment, monitoring, and versioning
- Work with advanced ML and deep learning techniques
- Fine-tune LLMs and integrate transformer architectures
- Build intelligent RAG pipelines with memory, search, and embeddings
Who Should Attend This Program
- Learners who completed AI Developer Foundations + Applied AI Specialist
- Machine learning and AI engineers
- Developers building LLM and agent-based applications
- Students preparing for AI or ML careers
- Technical professionals designing AI systems at scale
- Product builders creating AI-powered solutions
Limited Seats
Claim Your Spot Today!
What You'll Master
Module 1 – AI Architecture & Production Systems
- Consolidating foundational → mid-level AI knowledge
- Designing end-to-end AI pipelines: ingestion, processing, inference, monitoring
- MLOps essentials: CI/CD, model versioning, A/B testing, Docker fundamentals
Module 2 – Advanced ML & Deep Learning
- Ensemble & Gradient Boosting:XGBoost, LightGBM, CatBoost
- Deep Learning with PyTorch:architectures, loops, optimization, GPU acceleration
- Transformer Deep-Dive:attention mechanism, encoder/decoder, positional encoding, GPT internals
- Fine-Tuning LLMs:LoRA, QLoRA, PEFT workflows with custom datasets
Module 3 – RAG & LLM Applications
- LangChain fundamentals
- Vector databases: FAISS, Pinecone, Chroma
- Building retrieval-augmented generation pipelines
- LangGraph for advanced, stateful LLM workflows
Module 4 – Agentic AI & MCP
- AI Agent Design Patterns:planning, reflection, and architectural patterns
- Building Agents with CrewAI:multi-agent roles and collaboration
- Model Context Protocol (MCP):building servers/clients for standardized AI tooling
- Agent-to-Agent Communication (A2A):Google A2A, cross-platform interoperability
- Enterprise Agent Deployment:governance, monitoring, human-in-the-loop design
Module 5 – Capstone: Full-Stack AI Application
- Project Planning:scope, tech stack, architecture
- Development Sprint:integrate RAG, agents, ML models
- Cloud Deployment & Demo: deploy to AWS/GCP/Azure; portfolio-ready presentation
Career Opportunities
Be tomorrow’s :
- Full-Stack AI Engineer
- AI Systems Architect
- LLM Engineer / RAG Engineer
- Machine Learning Engineer (mid-to-senior)
- AI Product Engineer
- Agentic Systems Developer
- MLOps Engineer
“Your success is our mission!”
Why Acamind Academy?
- KHDA-approved advanced AI training
- Industry-aligned curriculum covering modern AI systems end-to-endI
- Hands-on labs with PyTorch, LangChain, LangGraph, vector databases, and agents
- Practical MLOps guidance for deployment and monitoring
- Capstone project to showcase real engineering experience
- Located next to ADCB Metro Station, Al Karama
“We teach. We guide. We stay with you“
Ready to enhance your professional AI skills?
Take the final step toward becoming a full-stack AI engineer with deep expertise in modern LLM systems, agents, and production deployments.
Register Today!
Call/WhatsApp: +971 (52) 1000 655
Email: sales@acamind.ae
FAQs
What level of experience is required?
Completion of AI Developer Foundations + Applied AI Specialist, or equivalent experience.
Will I deploy real AI applications?
Yes. Cloud deployment is part of the capstone module.
Does the program include agentic AI systems?
Yes. CrewAI, MCP, and agent design patterns are included.
Do we work with RAG?
Yes. You will build retrieval-augmented pipelines from scratch.
Is deep learning covered?
Yes. PyTorch, CNN fundamentals, and transformer internals are explored in depth.
How long is the program?
The program runs for 70 hours.
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