Your Mentors
Indhu
Lead Trainer | AI Educator | Career Coach
Indhu is a dedicated AI mentor with hands-on experience in building real-world machine learning models and deploying them for impact. With a strong foundation in Python, Pandas, and Scikit-learn, she excels at simplifying technical concepts and guiding beginners into confident AI practitioners. She has mentored students from diverse backgrounds — helping them break into AI roles with practical skills, clean code, and portfolio-ready projects.
Course Overview
Step into the future of tech with "NextGen AI: Learn Today, Lead Tomorrow," a dynamic four-month program that blends live, mentor-led AI training with a remote UK internship experience. Designed for aspiring innovators, this course immerses you in the world of artificial intelligence through interactive online classes, hands-on projects, and real-world case studies. You’ll master essential AI tools like Python, NumPy, Pandas, scikit-learn, TensorFlow, Keras, and Hugging Face, while building and deploying models in a collaborative, project-based environment.
Beyond technical skills, the program empowers you with career-focused resources—mock interviews, resume and LinkedIn workshops, a freelance starter pack, and personal branding support—ensuring you’re ready to stand out in the global AI job market. With daily guidance from expert mentors and direct experience on UK-led internship projects, you’ll graduate with a portfolio that showcases your abilities and access to a supportive alumni network, setting you up for a future-proof career in AI.
Learning Roadmap
AI Foundations & Career Scope
Explore the impact of AI, understand key concepts like ANI and AGI, and map out career opportunities in the field.
Python Programming for AI
Learn Python basics, write your first scripts, and use Google Colab to build a strong coding foundation for AI workflows.
Math, Stats & Data Wrangling
Master essential math and statistics for AI, and get hands-on with data cleaning and preparation using Pandas and NumPy.
Machine Learning Foundations
Understand machine learning types, pipelines, and workflows with Scikit-learn, laying the groundwork for all AI projects.
Regression, Classification & Clustering
Build predictive models, classify data, and discover hidden patterns using regression, classification, and clustering techniques.
Neural Networks & Deep Learning
Dive into neural networks, train models from scratch, and leverage TensorFlow and Keras for scalable deep learning.
Computer Vision & Sequence Modeling
Apply convolutional neural networks to image data and use RNNs/LSTMs for time series and text sequence modeling.
Natural Language Processing & Recommendation Systems
Analyze and process text with NLP tools, and build recommendation engines for real-world personalization.
AI Ethics, Explainability & Deployment
Build responsible, explainable AI, and deploy interpretable models using SHAP, LIME, Streamlit, and Flask.
Job Prep, Capstone & Prompt Engineering
Prepare for AI careers with portfolio projects, mock interviews, and master prompt engineering for generative AI.
Course Details
Duration
16 Weeks
Time Commitment
40-45 hours per week
Skill Level
Beginner to Advanced
Support
24/7 chat support, bi-weekly live Q&A
Resources
50+ code examples, starter templates