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Full Stack AI Developer
Unlock the future of data science using Python, Deep Learning, NLP, MLOps, RNNs, CNNs, GANs and more
About Course
Unlock the future of Data Science and AI-ML with our comprehensive program at iVidyaa! Our courses blend essential Data Science knowledge with cutting-edge AI-ML skills. Dive into Python, Deep Learning, Natural Language Processing (NLP), MLOps, and more. Plus, explore Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and the power of BERT and Transformers. All this clubbed with hands-on projects, interactive sessions with Industry experts, and exposure to business intelligence tools is bound to make this journey a rewarding one.
| Classroom | Self-Study | Total |
|---|---|---|
| 128 | 392 | 520 |
Fees:
Tech Stack:
Curriculum:
The Advance AI-ML and Data Science course is a comprehensive program designed to equip students with the knowledge and skills necessary to excel in the era of intelligent systems and data-driven decision-making. This course integrates key concepts from Artificial Intelligence (AI), Machine Learning (ML), Data Science (DS), Data Visualization and Data Analytics, offering a robust curriculum that covers everything from the fundamentals of AI algorithms and data pre-processing to advanced machine learning techniques, deep learning frameworks, and insightful data visualization methods. Students will explore the workings of supervised and unsupervised learning, natural language processing (NLP), computer vision, deep learning, and AI ethics, as well as essential data analytics and visualization tools.
By merging the principles of AI, ML, and DS with practical applications, this course prepares students to lead in the development and implementation of cutting-edge intelligent solutions. The curriculum emphasizes practical skills, providing hands-on experience with the technologies that underpin AIML. Students will learn to design, deploy, and manage sophisticated AI systems that leverage large datasets to generate insights, make predictions, and automate complex tasks. This course is essential for those aiming to become innovators in fields such as data science, software engineering, business analytics, and cognitive computing, offering the tools and knowledge needed to drive the AI revolution across various industries.
FAQs
| Question | How can a Data Analytics course help in career growth ? |
| Answer | A person who is trained in data analytics can have an option to choose from many exciting job roles such as data engineer, solution architect, statistician , business intelligence professionals or a project manager to name a few. |
| Question | What is the difference between Data Analytics and Full stack AI Developer courses being offered by iVidyaa? |
| Answer | Data analytics focuses on analyzing data to derive insights while full stack AI/ML courses encompass a broader range of skills, including data analytics as well as the development and deployment of machine learning models. Depending on your career goals and interests, you might choose one over the other. However, Full stack AI Developer course provides a comprehensive understanding of data science. |
| Question | Is prior experience in IT or coding a pre-requisite for enrolling for Data Analytics or Full stack AI developer courses being offered by iVidyaa? |
| Answer | No, it is not at all essential for a student to have prior experience in IT or coding . Infact, any one who has cleared 10+2 can enroll for any of these courses as the course material and curriculum being offered by iVidyaa is quite comprehensive and simple to understand and learn. |
| Question | What infrastructure iVidyaa has for hands on training / projects on AI-ML and Data science? |
| Answer | iVidyaa is one of the very few establishments who has set up AI Lab powered by Nvidia processor where every student will get an opportunity to put their conceptual knowledge to practical use starting from data processing till project deployment. |
| Question | How Data Science and AI are related? |
| Answer | Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms. |
| Question | I am not from science back ground, can I do data science? |
| Answer | Absolutely! Data science welcomes diverse backgrounds. Dedication to learning and practice can pave the way for a successful transition into the field. |
| Question | What are the career opportunities after completing this course? |
| Answer | Graduates can pursue various roles such as Data Scientist, Machine Learning Engineer, AI Researcher, Data Analyst, and more in industries like tech, finance, healthcare, and automotive. |
| Question | Are there any hands-on projects included in the course? |
| Answer | Yes, the course includes several hands-on projects and assignments that allow you to apply the concepts and techniques you have learned to real-world problems. |
| Question | How is the course structured? |
| Answer | The course is divided into modules, each focusing on different aspects of AI and ML. It includes a mix of offline mode, video lectures, reading materials, hands-on exercises, quizzes, and projects. |
Benefits of the course
- Grasp the core concepts and principles of the React JavaScript library.
- Understand the importance of component-based architecture in building scalable applications.
- Master the handling of state and props, fundamental to React component development.
- Implement routing and navigation in single-page applications using React Router.
- Dive into React hooks and functional components for modern and efficient development.
- Learn how to connect React applications to external APIs and manage asynchronous data.
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