Data Science & Artificial Intelligence Training
At Feasible Technologies, we offer comprehensive training programs in Data Science and Artificial Intelligence designed to equip you with the skills and knowledge needed to excel in these rapidly growing fields. Our courses cover everything from the fundamentals of data analysis to advanced machine learning algorithms and AI applications.
Whether you're a student looking to start a career in data science, a professional wanting to upskill, or an organization seeking to train your team, our industry-aligned curriculum and hands-on approach ensure you gain practical, job-ready skills that are in high demand across industries.
Why Choose Our Data Science & AI Courses?
- Industry-relevant curriculum
- Hands-on projects and case studies
- Expert instructors with industry experience
- Flexible learning options
- Job placement assistance
Our Data Science & AI Courses
Data Science Fundamentals
A comprehensive introduction to the world of data science, covering the essential concepts, tools, and techniques needed to start your journey in this exciting field.
What You'll Learn:
- Python programming for data science
- Data cleaning and preprocessing
- Exploratory data analysis
- Data visualization with Matplotlib and Seaborn
- Statistical analysis and hypothesis testing
- Introduction to machine learning
Course Highlights:
Machine Learning Specialist
Dive deep into the world of machine learning algorithms and techniques. Learn how to build, train, and deploy machine learning models to solve real-world problems.
What You'll Learn:
- Supervised learning algorithms
- Unsupervised learning techniques
- Feature engineering and selection
- Model evaluation and validation
- Ensemble methods
- Model deployment and MLOps
Course Highlights:
Deep Learning & Neural Networks
Master the cutting-edge techniques in deep learning and neural networks. Learn to build and train complex models for image recognition, natural language processing, and more.
What You'll Learn:
- Neural network fundamentals
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transformers and attention mechanisms
- Generative Adversarial Networks (GANs)
- Deep learning frameworks (TensorFlow, PyTorch)
Course Highlights:
AI Applications Development
Learn to build practical AI applications that solve real-world problems. This course focuses on the end-to-end development of AI systems, from concept to deployment.
What You'll Learn:
- AI application architecture
- Computer vision applications
- Natural Language Processing (NLP) systems
- Recommendation systems
- AI agents and chatbots
- Deployment and scaling AI applications
Course Highlights:
Course Comparison
| Feature | Data Science Fundamentals | Machine Learning Specialist | Deep Learning & Neural Networks | AI Applications Development |
|---|---|---|---|---|
| Duration | 8 Weeks | 12 Weeks | 16 Weeks | 16 Weeks |
| Level | Beginner | Intermediate | Advanced | Advanced |
| Prerequisites | Basic programming knowledge | Python programming, statistics | Machine learning fundamentals | Machine learning, basic deep learning |
| Projects | 3 mini-projects | 5 projects | 4 advanced projects | 2 end-to-end applications |
| Job Roles | Data Analyst, Junior Data Scientist | Data Scientist, ML Engineer | Deep Learning Engineer, AI Researcher | AI Developer, AI Solutions Architect |
| Price | ₹19,999 | ₹29,999 | ₹39,999 | ₹39,999 |
Recommended Learning Path
Data Science Fundamentals
Start with the basics of data science, including Python programming, data analysis, and visualization. Build a strong foundation in statistical concepts and get introduced to machine learning.
Machine Learning Specialist
Advance your skills with in-depth knowledge of machine learning algorithms and techniques. Learn to build, evaluate, and deploy machine learning models for various applications.
Deep Learning & Neural Networks
Master advanced techniques in deep learning and neural networks. Learn to build complex models for image recognition, natural language processing, and other cutting-edge applications.
AI Applications Development
Apply your knowledge to build end-to-end AI applications that solve real-world problems. Learn the entire development lifecycle from concept to deployment and scaling.
Industry Applications of Data Science & AI
Finance & Banking
Fraud detection, risk assessment, algorithmic trading, customer segmentation, and personalized financial recommendations.
Healthcare
Disease prediction, medical image analysis, drug discovery, personalized treatment plans, and healthcare operations optimization.
Retail & E-commerce
Recommendation systems, demand forecasting, inventory management, price optimization, and customer behavior analysis.
Manufacturing & Logistics
Predictive maintenance, supply chain optimization, quality control, demand forecasting, and route optimization.
Marketing & Advertising
Customer segmentation, campaign optimization, sentiment analysis, market basket analysis, and attribution modeling.
Automation & Robotics
Computer vision for robotics, autonomous systems, process automation, and intelligent decision-making systems.
Meet Your Instructors
Dr. Rajesh Kumar
Data Science Lead
PhD in Computer Science with 10+ years of experience in data science and machine learning. Previously worked at leading tech companies and research institutions.
Priya Sharma
AI & Deep Learning Expert
Masters in AI with expertise in deep learning and neural networks. Has contributed to several open-source AI projects and published research papers in top conferences.
Amit Verma
AI Applications Architect
Industry veteran with extensive experience in building and deploying AI applications at scale. Specializes in computer vision and NLP applications for various industries.
Student Success Stories
Rahul Sharma
Data Scientist at Tech Innovations
"The Data Science & AI courses at Feasible Technologies completely transformed my career. The hands-on approach and real-world projects gave me the practical skills I needed to land my dream job. The instructors were knowledgeable and always available to help with any questions."
Neha Patel
ML Engineer at Global Solutions
"I had some programming experience but wanted to transition to AI. The Machine Learning Specialist course provided the perfect balance of theory and practice. The projects were challenging but rewarding, and the career support helped me secure multiple job offers."
Vikram Singh
AI Developer at FinTech Solutions
"The Deep Learning & Neural Networks course was exactly what I needed to advance my career. The curriculum was up-to-date with the latest techniques and technologies. I was able to apply what I learned immediately in my job, which led to a promotion within months of completing the course."
Frequently Asked Questions
Ready to start your journey in Data Science & AI?
Enroll now and gain the skills that are shaping the future of technology and business!