



AI Engineer Track (Core) — Deep Learning Specialization
Master Deep Learning — The Core Technology Behind AI
Build Intelligent Systems. Master the Core of Modern AI.
Level: Advanced
Prerequisite: Python + Machine Learning fundamentals
Duration: 14–18 weeks (Cohort-Based)
Format: Live + Hands-On Labs + Guided Projects
Powered by: Andrew Ng via Coursera
Certification: Deep Learning Specialization
Start Date: [Insert Next Cohort Date]
Seats: Limited to 15 learners
Go beyond machine learning and learn how to build neural networks, power AI systems, and develop real-world applications used in today’s most advanced technologies.
By the end of this program, you will:
Build and train neural networks from scratch
Understand deep learning architectures (CNNs, RNNs, Transformers)
Apply AI to real-world problems (vision, text, prediction)
Optimize and improve model performance
Develop AI-powered applications
Python (TensorFlow / Keras / PyTorch basics)
Jupyter Notebooks
Deep learning frameworks
AI development tools
This program prepares you for:
AI Engineer
Machine Learning Engineer
Deep Learning Specialist
AI Product Developer
Weeks 1–3: Neural Network Foundations
How neural networks work
Forward & backward propagation
Model building fundamentals
Weeks 4–7: Deep Learning Models
Deep neural networks
Model tuning & optimization
Regularization techniques
Weeks 8–10: Computer Vision (CNNs)
Convolutional Neural Networks
Image recognition & classification
Real-world use cases
Weeks 11–13: Sequence Models (RNNs & NLP)
Recurrent Neural Networks
Natural Language Processing basics
Sequence modeling
Weeks 14–16: Transformers & Modern AI
Attention mechanisms
Transformers & LLM foundations
Intro to generative AI
Weeks 17–18: Capstone Project
Build an AI-powered solution
Deploy or demonstrate your model
Present your project
This program prepares you for:
AI Engineer
Machine Learning Engineer
Deep Learning Specialist
AI Product Developer
Premium AI Program
KES
Apply Now — Limited Seats for Advanced Cohort
Guided Programs. Cohort Training. Enterprise Training
Learn concepts. Build skills. Apply to your Job/ business. Grow sustainably
Step 1: Learn
Access practical, market-relevant training designed for real-world application.
Step 2: Apply
Work on real challenges, case studies, and tools that translate learning into action.
Step 3: Grow
Leverage skills to unlock opportunities—employment, enterprise growth, and partnerships.
Become a Partner
Send us an email: partners@urgeskillup.com
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