Career Spotlight: AI Engineer [VIDEO]

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Deep Learning, PyTorch (Machine Learning Library), Transformers, LLMs, Neural Networks, Keras (Neural Network Library), Artificial Intelligence, Artificial Neural Network, Artificial Intelligence (AI), keras, Machine Learning, PyTorch functions, Positional encoding and masking, Language transformation, Generative pre-trained transformers (GPT), Bidirectional Representation for Transformers (BERT), Artificial Neural Networks, Data Analysis, Human Learning, Applied Machine Learning, Data Visualization, Machine Learning Algorithms, Python Programming, NLP Data Loader, PyTorch, Hugging Face Libraries, Large Language Models, Tokenization, regression, Clustering, SciPy and scikit-learn, classification, Activation functions, Softmax regression, Convolutional Neural Networks, Proximal policy optimization (PPO), Direct preference optimization (DPO), Hugging Face, Instruction-tuning, Reinforcement learning, Generative Adversarial Networks (GANs), TensorFlow Keras, Convolutional Neural networks CNN, Reinforcement Learning, Retrieval augmented generation (RAG), In-context learning and prompt engineering, LangChain, Chatbots, Vector databases, TensorFlow, Linear Regression, Logistic Regression, Gradient Descent, Gradio, Generative AI applications, Vector database, Generative AI for NLP, N-Gram, PyTorch torchtext, Word2Vec Model, Sequence-to-Sequence Model, Pretraining transformers, LoRA and QLoRA, Fine-tuning LLMs