Objective of course Develop a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML), including essential math and core …
Objective of course
- Develop a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML), including essential math and core concepts.
- Equip learners with hands-on experience in building predictive models, image classifiers, and text classifiers.
- Introduce practical applications of neural networks, natural language processing (NLP), and computer vision.
- Enable participants to understand and implement end-to-end ML workflows, from data preprocessing to model evaluation.
- Prepare students for AI/ML industry roles by enhancing their professional profiles and interview readiness.
Job roles in industry
- Machine Learning Engineer
- Data Scientist
- AI Engineer
- NLP Specialist
- Computer Vision Engineer
- Data Analyst
Included in this course
- Fundamental understanding of ML models (supervised and unsupervised).
- Building and evaluating supervised ML models.
- Building and training a convolutional neural network (CNN) on image datasets.
- Building ML models for text classification (e.g., sentiment analysis).
- Mock interviews with feedback on core and advanced AI/ML topics.
- Dedicated sessions for Q&A and project documentation reviews to ensure clarity and thorough understanding.
Passing criteria
Learner needs to score minimum 60% to pass the exam. Scores are given for every quiz & assignment.
Course Currilcum
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- Introduction to AI/ML Concepts and Applications Unlimited
- Essential Math: Linear Algebra, Calculus for ML Unlimited
- Probability and Statistics for ML Unlimited
- Overview of ML Models (Supervised, Unsupervised) Unlimited
- Doubt clearing session / Q&A Unlimited
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- Data Preprocessing and Feature Engineering Unlimited
- Exploratory Data Analysis (EDA) Unlimited
- Building and Training a Supervised ML Model Unlimited
- Model Evaluation and Performance Metrics Unlimited
- Project documentation submission/ Review 1 week, 3 days
- Fundamentals of Neural Networks Unlimited
- Building a Feedforward Neural Network Unlimited
- Introduction to CNN for Image Classification Unlimited
- Hands-On CNN Model Training on Image Dataset Unlimited
- Project documentation submission/ Review 1 week, 3 days
- Building an AI/ML-Specific Professional CV Unlimited
- Optimizing LinkedIn and GitHub Profiles for AI/ML Unlimited
- Interview Preparation: Core AI/ML Concepts Unlimited
- Interview Preparation: Advanced Topics Unlimited
- Mock Interviews with Feedback 1 week, 3 days