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.
Course Duration: (520 Hours)
| Classroom Hours | Self-Study Hours | Total Hours |
|---|---|---|
| 128 | 392 | 520 |
Fees: 80000
Discounted Fees: 50000
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.
Advance AI- ML & Data Science Course
Introduction to Data Visualization
Advance Excel with VBA
Power BI
Tableau
Basic Python Programming with OOPs
Basic R Programming
Introduction to Analytics & Basic Statistics
Python Library for Analytics
My SQL
Mongo DB
Maths for Data Science
Optimization and modeling
Machine Learning Fundamentals
Machine Learning Applications
Fundamentals of AI
Fundamentals of Neural Networks and Deep
Learning
NLP
Computer Vision
- Rising Demand for AI and ML Professionals: Industry Reliance: Companies across various sectors are increasingly relying on AI and ML technologies, creating a high demand for skilled professionals. This strong demand ensures better job security and stability in your career.
● Attractive Salary Packages: Competitive Compensation: AI and ML experts often receive competitive salaries. The specialized skills involved in AI and ML are highly valued, with significant potential for salary growth as experience and expertise increase.
● Broad Career Opportunities: Versatile Roles: AI and ML experts are needed in finance, healthcare, marketing, e-commerce, technology, and more, offering a wide range of career options. Positions available include machine learning engineer, AI researcher, data scientist, AI consultant, and more.
● Skill Development: Technical Proficiency: Learn valuable technical skills such as machine learning algorithms, neural networks, deep learning, and proficiency in tools like Python, R, TensorFlow, and PyTorch. Develop strong analytical and computational skills to solve complex problems and build advanced models.
● Enhanced Decision-Making: Informed Strategies: Equip yourself with the ability to make informed decisions based on AI and ML insights, leading to improved business strategies and outcomes. Contribute to and foster an AI-driven culture within your organization.
● Career Progression: Advanced Positions: Advanced AI and ML skills can fast-track your career, leading to higher positions such as AI lead, machine learning architect, or chief data officer. Stand out in your field as a certified AI and ML professional.
● Professional Networking: Expand Connections: Interact with peers, instructors, and industry professionals during the course, expanding your professional network. Gain insights into industry trends and best practices through networking and collaborative projects.
● Certification and Validation: Credible Certification: Earning a certification upon course completion validates your skills and enhances your resume. A certification can make you more marketable to potential employers and increase your job prospects.
● Practical Experience: Hands-On Learning: Work on real-world projects and case studies, providing practical experience and a portfolio to showcase your skills. Apply the knowledge gained directly to your current job or future roles, making an immediate impact.
● Flexibility with Remote Work: Work from Anywhere: AI and ML skills are highly suitable for remote work, offering flexibility in terms of work location and hours. The ability to work remotely opens up job opportunities worldwide, not just in your local area.
FAQs
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.
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.
| Absolutely! Data science welcomes diverse backgrounds. Dedication to learning and practice can pave the way for a successful transition into the field. |
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.
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.
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.
LanguageEnglish
| Hours | 520 Hrs |
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