Skillfloor offers a comprehensive Artificial Intelligence and Machine Learning training program in Pune, designed to help students and professionals develop essential AI skills. The Artificial Intelligence Course in Pune covers key topics like machine learning algorithms, data science, and data analytics. Through a combination of theoretical learning and hands-on projects, students gain practical experience in applying AI technologies to real-world problems. This course is ideal for anyone looking to build a strong foundation in AI and pursue a career in the growing field of artificial intelligence.
As one of the emerging AI institutes in Pune, Skillfloor focuses on preparing students for in-demand roles in AI. The AI courses in Pune provide industry-relevant training, with internship opportunities that allow students to work on live projects and gain practical exposure. With guidance from experienced instructors, learners are equipped with the skills needed to succeed in roles like AI Engineer, Data Scientist, or Machine Learning Specialist. The course is designed to meet current industry needs, helping students build the knowledge and confidence required to thrive in the AI job market.
₹60,000
The Artificial Intelligence certification in Pune helps you learn the basics of AI and machine learning through practical lessons and hands-on projects. It covers important topics like data science, AI algorithms, and the use of key AI tools. This certification is perfect for beginners or those who want to advance their career in AI. After completing the course, you will earn a recognized certification that can help you stand out and boost your job opportunities in the growing field of Artificial Intelligence.
- Overview of AI and ML
- Types of Machine Learning
- Data Collection and Preprocessing
- Basic Statistics for AI
- Python Essentials for AI
- Regression Analysis
- Classification Algorithms
- Ensemble Methods
- Model Evaluation Techniques
- Feature Engineering and Selection
- Introduction to Clustering
- Dimensionality Reduction Techniques
- Association Rule Learning
- Anomaly Detection
- Self-Organizing Maps (SOM)
- Introduction to Neural Networks
- Deep Neural Networks (DNNs)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Autoencoders and Generative Models
- Introduction to NLP and Text Processing
- Text Classification and Sentiment Analysis
- Advanced NLP Techniques
- Deep Learning in NLP
- Speech Recognition and Processing
- Introduction to Computer Vision
- Image Classification with CNNs
- Object Detection Techniques
- Image Segmentation
- Video Processing and Analysis
- Introduction to Reinforcement Learning
- Markov Decision Processes (MDP)
- Q-Learning and SARSA
- Deep Q Networks (DQN)
- Applications of Reinforcement Learning
- Ethical Implications of AI
- Fairness and Bias in AI
- Privacy and Security Concerns
- Explainability in AI
- Legal and Regulatory Aspects
- AI in Healthcare
- AI in Finance
- AI in Manufacturing
- AI in Retail
- AI in Autonomous Systems
- Defining and Planning a Capstone Project
- Data Preparation for Projects
- Model Building and Testing
- Model Deployment Techniques
- Project Presentation and Evaluation