AI & Machine Learning Training
For Teams and Professionals
Learning Goals
This curriculum enables learners to:
Understand the foundations of AI, machine learning, and deep learning
Build and deploy large language model (LLM) applications
Apply prompt engineering and RAG techniques for enterprise use cases
Develop computer vision and NLP solutions using modern frameworks
Implement MLOps practices for production-grade AI systems
Design AI agents and automation workflows
Evaluate AI ethics, security, and governance frameworks
Deliver an end-to-end AI capstone project
Training Modules
Foundations of AI & Machine Learning
AI landscape overview, supervised vs unsupervised learning, neural network fundamentals, model training lifecycle, key frameworks (TensorFlow, PyTorch)
Data Engineering for AI
Data collection and preprocessing, feature engineering, data pipelines, handling imbalanced datasets, data versioning and governance
Natural Language Processing (NLP)
Text preprocessing, tokenization, embeddings, sentiment analysis, named entity recognition, text classification, transformer architecture
Large Language Models (LLMs)
GPT, Claude, and LLaMA architectures, prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), context windows, token optimization
Generative AI Applications
Text generation, image generation (Stable Diffusion, DALL-E), code generation, AI agents, multi-modal models, responsible AI practices
Computer Vision
Image classification, object detection, image segmentation, CNNs, transfer learning, real-time video analysis, edge deployment
AI in the Enterprise
AI strategy and roadmap, use case identification, ROI assessment, change management, AI governance frameworks, compliance and ethics
Prompt Engineering & AI Integration
Advanced prompting techniques, chain-of-thought, few-shot learning, API integration, building AI-powered applications, tool use and function calling
MLOps & Model Deployment
Model versioning, CI/CD for ML, containerization, cloud deployment (AWS SageMaker, Azure ML, GCP Vertex AI), monitoring and drift detection
AI Agents & Automation
Autonomous agents, multi-agent systems, workflow automation, tool integration, memory and planning, agent frameworks (LangChain, CrewAI)
AI Security & Responsible AI
Adversarial attacks, prompt injection, model safety, bias detection and mitigation, explainability (XAI), regulatory compliance
Capstone Project & Certification
End-to-end AI solution design, team-based project, real-world dataset application, presentation and peer review, certification assessment
Training Is Just the Beginning
This AI & ML curriculum powers the Accelerate phase of USSP's end-to-end AI Transformation framework. Combine training with readiness assessment, strategy, and talent staffing for a complete AI adoption journey.
Explore AI Transformation ServicesContact Us
For Availability, Pricing and Customization options
875 N Michigan Ave, 3100
Chicago IL 60614
Mon - Fri 8:00 am to 5:00 pm
Phone: +1-(312) 546-4306
Fax: +1-(312) 253-2026
accounts@ussoftwarepro.com