Advance your AI engineering skills to create real-world applications, preparing you for mid-level roles in AI development. At this level, you will be able to build AI-powered applications like chatbots, fine-tuned models, and agents by diving into deep learning frameworks, neural networks, NLP techniques, and knowledge graph basics.

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INCLUDES:

Technical Skills

Soft Skills

Resume Building

Portfolio Building

Interview Prep

Neurodivergent Disclosure

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💼 Technical Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Neural network architectures (CNNs, RNNs, Transformers).

• Natural Language Processing (NLP) techniques (text classification, sentiment analysis, language modeling).

• Introduction to knowledge graphs and their applications.

• Knowledge graph representation and reasoning.

• Search algorithms and techniques (e.g., vector search, graph embeddings).

• Final Project (Technical Skills)

🤝 Soft Skills

• Collaboration and Teamwork

• Networking