We are launching an intensive AI & Generative AI Bootcamp (10–12 weeks) and are seeking an experienced trainer to deliver the full program end-to-end.
This role requires a well-rounded professional capable of covering core AI domains — from foundational concepts to advanced generative AI applications — with a strong emphasis on hands-on learning, real-world use cases, and project-based delivery.
Program Overview
- Duration: 10–12 weeks
- Format: Instructor-led with hands-on labs
- Delivery Mode: Classroom / Hybrid
- Focus: Practical AI, machine learning, and generative AI applications
Modules to Be Delivered by the Trainer
- Introduction to AI & Digital Foundations
- Python for AI
- Data Handling & Preprocessing
- Machine Learning Fundamentals
- Deep Learning Basics
- Applied LLMs & Generative AI
- Data Visualization & Communication
- AI Product & Project Management
- Capstone Project
- Employability & Portfolio Development
Role Overview
The trainer will be responsible for delivering the full AI bootcamp, ensuring structured progression from foundational AI concepts to advanced machine learning and generative AI applications, culminating in end-to-end project delivery.
Key Responsibilities
- Deliver all sessions across the full AI curriculum
- Design and facilitate hands-on labs, coding exercises, and AI projects
- Provide real-world AI use cases and business applications
- Support learners throughout the program lifecycle
- Evaluate projects and presentations with structured feedback
- Guide participants in developing end-to-end AI solutions
- Ensure consistency and progression across all modules
Required Qualifications
- Minimum 5+ years of experience in AI, machine learning, or data science
- Strong proficiency in Python and AI libraries (NumPy, pandas, scikit-learn)
- Hands-on experience with machine learning (supervised & unsupervised)
- Experience with deep learning frameworks (TensorFlow or PyTorch)
- Strong understanding of data preprocessing and feature engineering
- Practical experience with LLMs and generative AI tools (prompting, applications)
- Experience with model evaluation and optimization techniques
- Understanding of AI lifecycle, deployment concepts, and use cases
Teaching Requirements
- Proven experience in technical training, teaching, or mentoring
- Ability to explain AI concepts in a clear, structured, and practical manner
- Strong focus on hands-on labs, projects, and real-world datasets
- Experience guiding student or junior-level AI projects
Preferred Qualifications
- Experience delivering AI or data science bootcamps
- Portfolio of AI/ML or generative AI projects
- Familiarity with MLOps or model deployment practices
- Exposure to cloud AI services (AWS, Azure, or GCP)
