The Python – AI & ML Training at A2IT InternEdge helps students and professional build real world skills in Artificial Intelligence and Machine Learning. Instead of learning theory you'll work on real projects and make your resume industry ready. This program is designed to help you build skills in python and industry tools to solve the real problems using AI.
Learn the fundamentals of python that are required to build Artificial Intelligence and Machine Learning.
Learn Supervised, Unsupervised, and reinforcement techniques to understand how machine learn from data and make intelligent decisions.
Explore neural networks, NLP, and computer vision, Discover how to build smart system that can think, understand and even see like humans.
The Python – AI & ML Training at A2IT InternEdge is designed to turn your curiosity about Artificial Intelligence into real and practical skills. By working on real projects you will learn how to build intelligent systems and predictive models using AI.
You'll explore core concepts like neural networks, natural language processing(NLP), computer vision and machine learning algorithms, learn all the skills using powerful tools Numpy, Pandas, matplotlib, TensorFlow and Keras.
By the end of the course you'll have a globally recognized AI/ML certificate in hand and the confidence to begin your career as AI Engineer, ML Developer, or Data Scientist.
Faculty made it a point to provide numerous opportunities for students to be successful outside of the classroom – via internships, volunteer opportunities and job offerings.”
Maliha Alizabeth Student
AI, ML Syllabus — Six Months Training Plan (2025)
Duration: 4–6 months | Fee: ₹15,000 (6 months) | Experience: 24+ years
Goal: Build programming and math skills necessary for ML.
Python basics, data types, NumPy for vectors & matrices.
Functions, loops, complexity (Big-O), core data structures.
Vectors, matrices, eigenvalues/eigenvectors, PCA basics.
Derivatives, gradients, probability, Bayes' theorem, distributions.
Goal: Master EDA, visualization, feature engineering, and preprocessing pipelines.
Pandas, data loading, aggregation, univariate/bivariate analysis.
Matplotlib & Seaborn: histograms, boxplots, scatter, heatmaps, storytelling.
Interaction terms, encoding categoricals, missing value strategies.
Scaling, outlier handling, Scikit-Learn pipelines.
Goal: Understand math, trade-offs, and implementations of core ML models.
Linear & Logistic Regression, SVMs and kernels, hinge loss.
Decision trees (Gini/Entropy), pruning; K-Means, DBSCAN.
PCA deep dive, t-SNE, association rules (Apriori).
Train/validation/test splits, cross-validation, precision/recall/F1, ROC/AUC.
Goal: Learn ensembles, boosting, hyperparameter tuning, and production readiness.
Bootstrapping, aggregation, Random Forest internals.
AdaBoost, Gradient Boosting Machines, XGBoost fundamentals.
Grid/Random Search, Bayesian optimization, bias-variance tradeoff.
L1/L2 regularization, model serialization (pickle/joblib).
Goal: From neurons to networks — build and train neural networks.
Perceptron, MLPs, activation functions, forward/backward propagation.
Convolutions, pooling, architectures (LeNet, AlexNet, ResNet overview).
Recurrent networks, sequence-to-sequence, attention basics.
Optimizers (Adam, RMSProp), LR schedules, regularization, dropout.
Goal: Move models into production and complete a capstone.
Flask/FastAPI, Dockerizing models, REST APIs for inference.
Model versioning, CI/CD basics, monitoring and logging.
Bias, fairness, privacy, interpretability, regulation.
Deliver capstone project with code, report, and presentation.
Join the AI-ML Internship course today and gain practical skills, industrial projects, and confidence to build, deploy, and optimize intelligent systems.
We are committed to leaving the world a better place. We pursue new technology, encourage creativity, FAQ abuot Internship and Industrial Training.
At A2IT InternEdge, AI, ML internship and course program offers flexible durations to suit your needs. While a normal internship duration is 6 months, we also offer shorter periods ranging from 45 days to 1-3 months.
at A2IT InternEdge offer both paid (stipend-based) and free internship opportunities. The type of internship you can apply for depends on the program and your qualifications. also provide course for discounted fee of Rs. 15,000 for six months.
In the internship program, you will learn the complete cycle of Artificial Intelligence and Machine Learning — from programming foundations, data exploration, and core ML algorithms to advanced deep learning, deployment, and MLOps. You will also complete hands-on projects and a capstone that prepare you for real-world applications.
Yes, upon successful completion of the internship and you will assigned a live project, project report, PPT and other required documents, you will be awarded an internship completion certificate from A2IT InternEdge.
To apply for an internship, you can either send your resume to our company email ID or contact our HR team directly. They will guide you through the next steps of the application proces.
At A2IT InternEdge, Yes, we provide both offline and online classes to accommodate your schedule and learning preferences. You can choose the mode of study that works best for you.
