Generative Artificial Intelligence
How to prepare for the Course?
This course introduces you to the fundamental concepts, algorithms, and real-world applications of Artificial Intelligence. It starts with basic programming skills and an introduction to data science, progressing towards more advanced topics like machine learning, neural networks, and deep learning. Through hands-on projects, you’ll apply AI tools and techniques to solve real-world challenges. To get the most out of this course, the following skills are essential:
- Basic Programming Knowledge (Typescript and next.js)
- Mathematics (Linear Algebra, Probability, and Calculus)
- Data Handling (Familiarity with data structures and databases)
- A Curiosity for solving problems and innovating!
Our course:
Unlock the power of Artificial Intelligence with our comprehensive course designed for beginners and intermediate learners. Dive into the world of AI, covering key concepts such as machine learning, neural networks, and deep learning. This course combines theoretical knowledge with hands-on experience, enabling you to build AI models and solve real-world problems. Whether you’re looking to enhance your career or explore the future of technology, this course provides the perfect foundation.
Introduction to Artificial Intelligence
- Overview of AI and its applications
- History and evolution of AI
- Key fields: Machine learning, NLP, computer vision
Fundamentals of Programming for AI
- Introduction to Typescript
- Data structures and algorithms
- Libraries for AI (Next.js, Pandas, Matplotlib)
Mathematics for AI
- Linear algebra basics
- Probability and statistics
- Calculus essentials for machine learning
Machine Learning Basics
- Supervised and unsupervised learning
- Key algorithms: Linear regression, decision trees, k-NN
- Model evaluation and optimization
Neural Networks and Deep Learning
- Introduction to neural networks
- Deep learning with TensorFlow/Keras
- Convolutional and Recurrent Neural Networks
Natural Language Processing (NLP)
- Text preprocessing
- Sentiment analysis and language models
- NLP applications: Chatbots, translation systems
AI in Practice: Hands-on Projects
- Building AI models
- Real-world problem solving
- Project deployment and scalability
Ethics and Future of AI
- AI ethics and bias
- The future of AI in different industries
- Career paths and opportunities in AI
This course aimed to provide Quality education to you.
- 3 Months
- Rs 1000
- Friday To Sunday