AI & ML Course List
Select Seminars, Workshops, and Classes in the Artificial Intelligence & Machine Learning Space
Generative AI & LLMs
Agentic Design Patterns
(3 Days)
Agentic Development with Langchain
(2 Days)
AI and LLM Model Selection
(2 Days)
Developing Agentic AI Systems
(2 Days)
Developing Multi-Agent AI Systems
(2 Days)
Generative AI on Azure
(2-5 Days)
Generative AI Prompt Engineering
(1 Day)
Introduction to Generative AI
(2 Days)
LangChain Foundation
(2 Days)
LLM Fine Tuning Introduction
(1 Day)
LLM Hello World
(4 Hours)
Generative AI on GCP (2-5 Days)
Generative AI Prompt Engineering (1 Day)
Generative AI with Python & Javascript (2 Days)
Retrieval Augmented Generation [RAG] Foundation (3 Days)
Training/Tuning LLMs with DeepSpeed, Axolotl, Unsloth, and distilabel (3 Days)
Tools & Frameworks
CUDA Programming Foundation
(3 Days)
Deep Learning with PyTorch
(3 Days)
GitHub CoPilot Introduction
(1 Day)
Deep Learning with JAX, Trax, and Optax (3 Day)
Deep Learning with TensorFlow (3 Days)
Langchain Introduction (1 Day)
LLM Applications with LangChain (2 Days)
Probabilistic ML with Pyro, Pomegranate and GPyTorch (2 Days)
Training/Tuning LLMs with DeepSpeed, Axolotl, Unsloth, and distilabel (3 Days)
AI/ML In-Depth
Adversarial AI & ML Security
(2 Days)
AI Anomaly Detection
(1 Day)
AI Computer Vision
(1 Day)
AI for Cybersecurity
(2 Days)
AI for Time Series
(1 Day)
Machine Learning Advanced
(2 Days)
Security and Privacy in AI
(2 Days)
AI/ML Foundations
AI and Machine Learning Introduction (2 Days)
AI Vibe Engineering (1 Day)
AI Vibe Engineering Foundation (3 Days)
AI Vibe Engineering Introduction (2 Days)
Deep Learning Foundation (3 Days)
Machine Learning Foundation (3 Days)
Machine Learning on GPUs (1 Day)
GenAI on AWS (2 Days)
Machine Learning Amazon SageMaker Studio (2 Days)
No Code AI/ML with Amazon SageMaker Canvas (2 Days)
Retrieval Augmented Generation [RAG] Foundation (3 Days)
AI/MLOps, DataOps & Cloud Native
AIOps Foundation
(2 Days)
Apache Spark on Kubernetes
(2 Days)
BentoML Foundation
(2 Days)
Cloud+AI/ML
(1 Day)
Dask Introduction
(1 Day)
Kubeflow Foundation
(3 Days)
Machine Learning on Kubernetes
(3 Days)
Metaflow Foundation
(2 Days)
Ray Foundation
(2 Days)
Seldon Core Foundation
(2 Days)
GenAI Applications in Production (1 Day)
Seminars & Short Courses (1-8 Hours)
AI Economics
(1.5 Hours)
AI Ecosystem Field Study
(2 Hours)
AI in Development Workflows
(1 Day)
AI/ML On-Prem vs The Cloud
(1 Day)
AI Vibe Engineering
(1 Day)
Ethics and Legality in AI
(1 Day)
Generative AI Prompt Engineering
(1 Day)
Interpretable and Explainable AI
(1 Day)
Vector Databases (1 Day)
Practical Workshops
Machine Learning Models in Practice (40-200 hours)
- Client-project-specific AI / Machine Learning skills development and model creation/deployment
- Multiweek, hands-on program structured around guided mentoring during client AI/ML development