Description
AI Project Lifecycle Mastery: Strategy to Deployment is a practical, end-to-end guide for managing AI projects from initial strategy through deployment and monitoring. The course breaks down the entire AI lifecycle—defining business objectives, crafting a data strategy, selecting the right models, enabling MLOps, evaluating performance, and ensuring ethical and compliant development. You will learn foundational AI concepts (traditional, generative, agentic), how AI projects differ from normal software development, and how to avoid common pitfalls that cause failures. With hands-on activities using tools like Pandas, Hugging Face, and Kaggle, plus real case studies, you’ll be fully equipped to lead or support AI initiatives even without programming experience.
Key Learning Outcomes
- Understand every stage of the AI project lifecycle from concept to deployment
- Build foundational knowledge in traditional AI, generative AI, and AI agents
- Translate business needs into high-value AI use cases and KPIs
- Design effective AI teams and understand cross-functional collaboration
- Evaluate structured vs unstructured data, and create strong data strategies
- Apply data cleaning, feature engineering, and dataset versioning
- Choose the right AI/ML models and understand architectural trade-offs
- Use proper evaluation metrics (accuracy, F1, ROC AUC, etc.)
- Implement MLOps practices like CI/CD, monitoring, and automated retraining
- Detect model drift, data errors, and performance degradation
- Apply ethics, transparency, fairness, and legal compliance
- Work with tools such as Pandas, Hugging Face, Kaggle & Teachable Machines
- Understand data stores: databases, data lakes & data warehouses
Target Audience
- Product managers leading AI initiatives
- Engineers & data scientists wanting full lifecycle mastery
- Business leaders and analysts applying AI for decision-making
- Project managers overseeing AI project timelines and risk
- Executives evaluating and adopting AI solutions
- Students and career changers seeking practical AI project skills
Prerequisites
- A laptop and internet connection
- No coding or technical background required
Course Specifications
Publisher: Udemy
Teacher: Dr. Ryan Ahmed, Stemplicity Inc.
Language: English
Level: Beginner to Advanced
Lectures: 86
Duration: 8 hours and 11 minutes
File Size: 7.6 GB