AI Training Courses
Course Duration
3 Months (3 days a week)
Total Class
36
Project
15+
Course Duration
3 Months (3 days a week)
Total Class
36
Project
15+
The Artificial Intelligence (AI) Training Course is designed to help learners understand modern AI concepts and apply them in real-world scenarios. The course begins with an introduction to AI, its history, and the different categories such as narrow AI, general AI, and machine learning systems. Students also learn the essential mathematics behind AI, including linear algebra, probability, and optimization, followed by a strong foundation in Python programming, data handling, and exploratory data analysis.
A major portion of the course focuses on Machine Learning, where participants study supervised, unsupervised, and reinforcement learning. Key algorithms such as regression, classification, and clustering are covered along with evaluation methods like accuracy and F1-score. The Deep Learning module introduces neural networks, CNNs, RNNs, LSTMs, and practical model-building exercises.
1. Introduction to AI
2. Mathematics for AI
3. Python for AI
4. Machine Learning Fundamentals
5. Deep Learning Basics
6. Neural Networks with TensorFlow / PyTorch
1. Computer Vision Tools
2. Generative AI / LLM Tools
3. Core Software
4. AI & Machine Learning Libraries
1. Upwork
2. Fiver
3. Android Software Development Firm
4. Freelancer
5. Codecanyon
Artificial Intelligence (AI) has become one of the most in-demand skills of today’s digital world. From healthcare and finance to e-commerce and entertainment, AI is reshaping industries and creating new job opportunities. As a result, thousands of learners, students, developers, and professionals are turning to online AI courses and certificate programs to build practical skills and advance their careers.
AI courses usually start with the basics, explaining how machines learn from data and how algorithms power intelligent systems. Beginner programs such as Elements of AI or AI For Everyone focus on core concepts, history, ethics, and real-world applications. These are ideal for learners who do not have a technical background but want to understand how AI works.
1. Introduction to XCode
2. Introduction to the basics of iOS App Development
3. UIKit and Interface builder
4. Advanced UI Concept
1. AI Tools & Frameworks
2. Natural Language Processing (NLP)
3. Generative AI & Large Language Models
4. Data Engineering for AI
1. Upwork
2. Fiver
3. iOS Software Development Firm
4. Freelancer
5. Github
6. Codecanyon
