Data Science and AI Full Stack
| Full Stack DataScience & AI | ₹ 35,000/- |
|---|---|
| Course Duration | 120 hours classes |
| Other | 40 hours fee LMS access 10 hours Soft Skills |
| Training Mode | Classroom/Online |
Welcome to Tek Ikons Full Stack Data Science & AI Online Training program, designed to equip you with comprehensive skills in both data science and artificial intelligence. This immersive course covers a diverse range of topics, empowering you to become a proficient full stack data scientist capable of leveraging AI technologies.
Whether you’re a beginner or an experienced professional, our training is tailored to elevate your expertise in the dynamic fields of data science and AI.
Course Description for Full Stack Data Science and AI
Our Full Stack Data Science & AI Online Training offers an extensive curriculum encompassing fundamental principles and advanced techniques. You will embark on a journey from the basics of data analysis and machine learning to cutting-edge AI applications. Key topics include Python programming, data visualization, statistical analysis, deep learning, and natural language processing. Through hands-on projects and real-world scenarios, you’ll develop the skills necessary to solve complex problems and extract insights from data.
Full Stack Data Science & AI Training
This Full Stack Data Science & AI Online Training is suitable for:
- Aspiring Data Scientists: Individuals seeking to enter the field of data science and AI.
- AI Enthusiasts: Professionals interested in exploring the potential of artificial intelligence.
- Data Analysts: Those looking to enhance their analytical skills and transition into data science roles.
- Software Engineers: Engineers aiming to expand their expertise to include data science and AI.
- IT Professionals: Professionals keen on leveraging AI technologies to enhance their career prospects.
- Students: Individuals pursuing a career in data science and AI, eager to acquire comprehensive skills in both domains.
Full Stack Data Science AI Course
This Full Stack Data Science & AI Online Training is suitable for:
- Aspiring Data Scientists: Individuals seeking to enter the field of data science and AI.
- AI Enthusiasts: Professionals interested in exploring the potential of artificial intelligence.
- Data Analysts: Those looking to enhance their analytical skills and transition into data science roles.
- Software Engineers: Engineers aiming to expand their expertise to include data science and AI.
- IT Professionals: Professionals keen on leveraging AI technologies to enhance their career prospects.
- Students: Individuals pursuing a career in data science and AI, eager to acquire comprehensive skills in both domains.
Full Stack Data Science with Generative AI
- Basic Programming Skills:
- Python fundamentals
- Data structures and algorithms
- Mathematics and Statistics:
- Linear algebra
- Calculus
- Probability
- Statistics
- Introduction to Data Science:
- Overview of data science
- Data science lifecycle
- Data Manipulation and Analysis:
- Data cleaning
- Exploratory data analysis (EDA)
- Data visualization
- Machine Learning Fundamentals:
- Supervised learning
- Unsupervised learning
- Model evaluation and selection
- Advanced Machine Learning:
- Deep learning fundamentals
- Neural networks
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Transfer learning
- Big Data Processing:
- Hadoop ecosystem
- Apache Spark
- Natural Language Processing (NLP):
- Text preprocessing
- Text classification
- Sentiment analysis
- Named entity recognition (NER)
- Word embeddings
- Computer Vision:
- Image preprocessing
- Object detection
- Image classification
- Image segmentation
- Time Series Analysis:
- Time series forecasting
- Seasonality and trend analysis
- ARIMA models
- LSTM networks for time series
- Reinforcement Learning:
- Markov decision processes
- Q-learning
- Deep Q-Networks (DQN)
- Policy gradients
- Database Management Systems:
- SQL and NoSQL databases
- Database design
- Web Development for Data Science:
- Flask or Django framework
- API development
- Front-end development (HTML, CSS, JavaScript)
- Deployment and Scalability:
- Docker containers
- Kubernetes
- Cloud platforms (AWS, Azure, Google Cloud)
- Version Control and Collaboration:
- Git and GitHub
- Collaboration tools
- Real-world project integrating various aspects of data science, AI, and full-stack development.
Full Stack Data Science & AI Online Training Course
Enrolling in our Full Stack Data Science & AI Online Training offers numerous benefits:
- Comprehensive Curriculum: Covering essential concepts and advanced techniques in data science and AI.
- Hands-On Experience: Practical projects and assignments to reinforce learning.
- Expert Instruction: Learn from industry experts with extensive experience in data science and AI.
- Flexible Learning: Online format allows you to learn at your own pace, from anywhere in the world.
- Career Advancement: Enhance your resume and unlock new opportunities in the rapidly evolving field of data science and AI.
- Community Support: Connect with fellow learners and professionals to exchange ideas and collaborate on projects.
By the end of this course, you will possess the skills and knowledge to excel as a full stack data scientist and AI practitioner. Join our Full Stack Data Science & AI Online Training today and embark on a rewarding journey in the world of data-driven insights and artificial intelligence!
Explore our diverse range of full stack courses tailored to suit various interests and career trajectories. Whether you’re delving into the versatility of Java with our Full Stack Java program, mastering the language in Full Stack Python, harnessing the power of the .Net framework in Full Stack .Net, ensuring application reliability with Full Stack Software Testing, or diving into the intricacies of web development in Full Stack Web Development, we offer comprehensive education covering both front-end and back-end technologies. Whatever your passion or professional goals, our full stack courses provide the expertise needed to thrive in the dynamic landscape of technology.