About Training Program
Learn the core concepts and real-world applications of Artificial Intelligence. This program covers machine learning, neural networks, and data-driven decision-making. Gain hands-on experience with tools and models used in AI development. Build the skills needed for future-ready tech careers.
Learning Outcome
- Core AI & Machine Learning Concepts: Gain a solid understanding of artificial intelligence fundamentals, including core concepts of machine learning and state-of-the-art techniques used in AI-driven systems.
- Practical Application & Model Design: Develop hands-on skills in data exploration, model building, evaluation, and applying AI to solve real-world problems using tools like scikit-learn, pandas, NumPy, TensorFlow, PyTorch, and Keras.
- Natural Language Processing (NLP) Specialization: Learn how to build and deploy NLP models using TensorFlow pipelines. Master text processing techniques, part-of-speech tagging, named entity recognition, and evaluation metrics for NLP tasks.
- AI in Practice with Cloud Tools: Get familiar with cloud-based AI using Microsoft Azure APIs for machine and deep learning. Apply AI techniques to numerical, image, and text data in practical scenarios.
Course Duration
- 3 Months
Job Opportunities
- AI Associate Engineer
- Machine Learning Associate Analyst
- Assistant Data Analyst
- Research Assistant
Course Outline
- Python & Data Foundations: Covers Python programming, object-oriented principles, Linux basics, data types, and statistical methods essential for AI development.
- Exploratory Data Analysis: Focuses on using libraries like NumPy, Pandas, Matplotlib, and Seaborn for data cleaning, visualization, and understanding distributions.
- Core Machine Learning Techniques: Introduces supervised and unsupervised learning including regression, classification, decision trees, and SVMs, with evaluation methods.
- Deep Learning & NLP: Teaches neural networks (MLP, CNN, RNN, LSTM), word embeddings, sequence models, and natural language processing using TensorFlow and PyTorch.
- Microsoft Azure AI Integration: Hands-on training in deploying AI solutions using Microsoft Azure services for vision, language, decision-making, and conversational AI.
Instructor
