Course Overview

This AI course provides a solid foundation in artificial intelligence, machine learning, and data science. It covers Python programming, key machine learning algorithms, deep learning, and natural language processing, with hands-on experience using tools like TensorFlow and Scikit-learn. The course includes practical projects in AI applications such as recommendation systems, chatbots, and time series analysis. Additionally, it covers web development with Django and cloud deployment, preparing students to apply AI in real-world scenarios across various industries.

Course Modules

• Python & Programming Foundations: Python Tools, Anaconda, Data Structures, OOPs, and core libraries (Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, OpenCV, TensorFlow, Keras, NLTK, Spacy, PyTorch).
• Machine Learning (Regression): Supervised/Unsupervised Learning, Simple & Multiple Linear Regression, SVM, Decision Tree, Random Forest, and Evaluation Metrics.
• Machine Learning (Classification & Clustering): Confusion Matrix, Logistic Regression, Naive Bayes, K-NN, Kernel SVM, K-Means, Agglomerative, Hierarchical, and Mean Shift Clustering.
• Advanced Machine Learning: Feature Selection (Select-K, RFE), Dimensionality Reduction (PCA, LDA), Overfitting vs. Underfitting optimizations.
• Data Science & Analysis: Univariate and Bivariate Analysis, Data Preprocessing, Hypothesis Testing, Outlier Detection, T-Test, and comprehensive Data Visualization techniques.
• Web Development using Django: Create Project and App, HTML page design, Backend view integration, and output rendering.
• Recommendation Systems: User/Item/Content-based systems, Popularity-based recommendations, Uplift Modelling, and Customer Life Time Value calculations.
• Deep Learning & Neural Networks: ANN, CNN, LSTM, RNN, Gradient Descent, Backpropagation, Transfer Learning, and projects like Face Recognition and Object Detection.
• Time Series Analysis: Stationary vs. Non-stationary series, Forecasting, Moving Average, ARIMA, SARIMA, VAR, and Stock Market Analysis.
• Natural Language Processing (NLP): TF-IDF Vectorization, Sentimental Analysis, Topic Modelling, Tokenization, Stemming, Lemmatization, and Named Entity Recognition.
• Prompt Engineering & LLM: ChatGPT API Introduction, OpenAI API, Custom Chatbots, BSWC Problem Statement execution, and End-to-End System Evaluation.
• GenAI & Cloud Deployment: GAN, Transformers, RAG, Stable Diffusion, Hugging Face, Llama-2, Gemini AI API, and Serverless deployment via GCP, Docker, and Kubernetes.

AI Projects

• Industry Solutions: AI in Finance, AI in Healthcare, and AI in Marketing.
• Computer Vision: Face Mask Detection and Object Detection Projects.
• Data Analysis: Stock Market Analysis, AQI Forecasting, and Fake News Detection.
• NLP & Generative AI: WhatsApp Chat Analysis, ChatBot Creation, and Advanced Gen AI Applications.

Hands-On Learning Opportunities

This AI course provides hands-on learning through practical projects, including AI applications in finance, healthcare, and marketing. Students will work with machine learning algorithms, deep learning models, and AI-powered web development, including chatbots and recommendation systems. The course also covers deploying AI models on cloud platforms, ensuring learners gain real-world experience to excel in the AI field.

Who Should Enroll?

• Aspiring AI Professionals: Individuals looking to build a robust career in artificial intelligence and deep learning.
• Data Scientists: Professionals seeking to expand their knowledge in AI, predictive modeling, and machine learning pipelines.
• Software Developers: Engineers interested in integrating AI features, LLMs, and ChatGPT API into their applications.
• Beginners & Up-skillers: Anyone with a basic understanding of Python eager to enter the tech sector and stay competitive in the rapidly evolving AI industry.

Why Choose This Course?

This course offers a comprehensive curriculum covering AI, machine learning, and deep learning, with hands-on experience through real-world projects. You’ll learn from expert instructors and gain practical skills in deploying AI models and building AI-powered systems. Whether you're looking to start your AI career or upskill, this course prepares you for in-demand roles in the rapidly growing tech sector.

Begin your AI learning journey with hands-on projects and expert guidance. Equip yourself with the skills needed to thrive in the AI industry and open doors to exciting career opportunities. Start today!