Full Stack AI Developer

Course Description

Unlock the future of Full Stack AI Developer 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: (500+ Hours)

Hours Table

Classroom Hours	Guided Learning Hours	Total Hours
128	392	520

Collapsible Curriculum Section

Curriculum:

The Full Stack AI Developer 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.

Data Visualization

Introduction to Data Visualization
Advance Excel with VBA
Power BI
Tableau

Programming Techniques

Basic Python Programming with OOPs
Basic R Programming

Data Analytics

Introduction to Analytics & Basic Statistics
Python Library for Analytics
My SQL
Mongo DB

Data Science & Machine Learning

Maths for Data Science
Optimization and modeling
Machine Learning
Fundamentals
Machine Learning Applications

Artificial Intelligence & Deep Learning

Fundamentals of AI
Fundamentals of Neural
Networks and Deep Learning NLP
Computer Vision

Hours	500+ Hrs.
Language	English
Who Should Attend	Diploma in Engineering, B.Tech in Engineering, B.Sc., M.Sc., M.Pharma, M.Tech

Course Fees Preview

Classroom Learning: INR 60,000

Instructor-led Online: INR 55,000

Self-paced Online: INR 45,000

(exclusive of GST@18%)

Benefits of the Course

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.

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