Mastering Generative AI & NLP
in New Technologies & InterventionsWhat you will learn?
Master foundational and advanced NLP techniques like tokenization, embeddings, and RNNs
Understand Generative AI and large language models (LLMs), including GPT and BERT
Gain skills in building, training, and deploying AI models for practical applications.
Learn how to apply AI responsibly and ensure ethical use of generative technologies.
About this course
About this Course
This self-paced course is designed to provide a comprehensive understanding of Generative AI and Natural Language Processing (NLP). You will learn how to build advanced AI models, apply them in real-world applications, and understand key concepts like attention mechanisms, large language models, and responsible AI practices.
Course Overview
• Duration: 7 Topics (self-paced)
• Mode: 100% online
• Access: Lifetime access to learning materials and updates
• Support: 24/7 email & chat support
• Certification: Industry-recognized certificate upon completion
Course Curriculum & Modules
Topic 1: Introduction to NLP
Topic 2: Sequential Data, RNNs, Encoder-Decoder Model
Topic 3: Attention Mechanism
Topic 4: Introduction to Generative AI
Topic 5: Introduction to Large Language Models
Topic 6: Generative AI Project Lifecycle
Topic 7: Responsible AI
What You Will Learn
• Master foundational and advanced NLP techniques like tokenization, embeddings, and RNNs.
• Understand Generative AI and large language models (LLMs), including GPT and BERT.
• Gain skills in building, training, and deploying AI models for practical applications.
• Learn how to apply AI responsibly and ensure ethical use of generative technologies.
Learning Objectives
• Understand the core principles of Natural Language Processing and Generative AI.
• Gain expertise in building recurrent neural networks (RNNs) and attention mechanisms.
• Develop the skills to fine-tune large language models for various use cases.
• Learn the process of creating, testing, and deploying Generative AI models.
• Understand the ethical implications of AI and implement responsible AI practices.
Course Features & Benefits
• Lifetime access to all content and updates.
• Practical hands-on projects with real-world data and applications.
• 24/7 support for queries and mentorship.
• Comprehensive coverage of both theory and practical skills in Generative AI and NLP.
• Certifications to boost your career in AI and machine learning.
Who This Course is For
• Aspiring AI Engineers and Data Scientists
• Professionals in Machine Learning or NLP looking to enhance their expertise.
• Tech enthusiasts interested in the field of Generative AI and language models.
• Individuals wanting to build AI-powered applications and understand the ethical concerns surrounding AI.
Skills Covered
• Natural Language Processing (NLP)
• Generative AI
• Recurrent Neural Networks (RNNs)
• Attention Mechanism & Transformer Architecture
• Large Language Models (GPT, BERT)
• Generative AI Project Lifecycle
• Ethical AI and Responsible AI Practices
Special Benefits to Students for Enrolling Now
• Exclusive discounts for early enrollees.
• Free bonus content, including an AI project toolkit.
• Priority access to job boards and networking opportunities.
• Early access to new course updates.
Exclusive Complimentary Benefit: One-on-One Expert Interaction
• Get personalized mentorship with industry experts.
• Review your projects and receive custom feedback on your work.
Course Certificate
• Earn a globally recognized certificate to showcase your Generative AI and NLP skills.
• Add it to your LinkedIn and resume to increase your job prospects.
• Boost your career in AI-related fields, including Machine Learning Engineer, Data Scientist, and AI Researcher.
Books & Reference
• Deep Learning with Python – François Chollet
• Natural Language Processing with Python – Steven Bird
• Generative Deep Learning – David Foster
• Transformers for Natural Language Processing – Denis Rothman
Indian Companies Hiring with These Certifications and Skillsets
• TCS, Infosys, Wipro – AI Engineers, Data Scientists
• Accenture, Cognizant – Machine Learning Engineers
• Flipkart, Amazon India – NLP Specialists
• Zomato, Swiggy – AI/ML Researchers
• Startups & Tech Giants – OpenAI, Google India, Microsoft India
This structure clearly outlines what students can expect from the course and how it will help them in their career.
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Basic Technology and Internet Access - A stable internet connection and the ability to use online learning platforms are essential. Students should be comfortable with navigating the course platform, accessing videos, downloading materials, and completing assessments.
Related Courses
Comments (0)