to design and deliver high-quality training programs for students and professionals. The trainer will be responsible for teaching core and advanced concepts of
Python, Machine Learning, and Artificial Intelligence
, along with hands-on labs, real-world projects, and industry best practices.
Key Responsibilities
Deliver instructor-led training sessions on
Python, Machine Learning, and AI concepts
Design course curriculum, training materials, assignments, and assessments
Explain complex AI/ML concepts in a clear, practical, and engaging manner
Conduct
hands-on coding sessions
, labs, and project-based learning
Guide learners on real-world use cases, case studies, and capstone projects
Evaluate trainee performance and provide constructive feedback
Stay updated with the latest trends and tools in
AI/ML, Python, and Data Science
Support learners with doubt-clearing sessions and mentoring
Collaborate with internal teams to improve training quality and outcomes
Technical Skills Required
Strong proficiency in
Python programming
Solid understanding of
Machine Learning algorithms
:
Linear & Logistic Regression
Decision Trees, Random Forests
KNN, Naive Bayes
SVM
Knowledge of
Deep Learning fundamentals
(CNN, RNN - preferred)
Hands-on experience with libraries:
NumPy, Pandas, Matplotlib, Seaborn
Scikit-learn
TensorFlow / PyTorch (preferred)
Understanding of
Data Preprocessing, Feature Engineering, and Model Evaluation
Basic knowledge of
SQL and Data Handling
Familiarity with
Jupyter Notebook, Git, and deployment basics
is a plus
Soft Skills
Excellent communication and presentation skills
Strong teaching and mentoring ability
Passion for learning and sharing knowledge
Ability to engage learners of varying skill levels
Problem-solving and analytical mindset
Qualifications
Bachelor's or Master's degree in
Computer Science, Data Science, AI, or related field