Artificial Intelligence

The Gen AI syllabus is not the same for all online courses and certifications. Some core concepts related to natural language processing, language modeling, AI model training, neural networks and programming can be the same but the course focus differs, along with the study approach and users. Beginner level courses are quite basic and focus on the theory part of GenAI fundamentals; advanced course modules are more practically oriented and require complex knowledge and reasoning.

The course modules of each Gen AI course differ on the basis of the specific programme approach and the online learning platform offering the course. You can find some basic concepts taught in Generative AI courses online given here for your reference:

• AI Model Training
• Generative AI Automation
• Chatbot Development
• Language Modeling
• Machine Translation
• Neural Network Architectures
• Programming with Python
• Creative Content Generation
• Natural Language Processing (NLP)

You can find some important differences for Generative AI vs Traditional AI here:

• Generative AI is more for creative fields and content generation while traditional AI is more suited for data analysis, pattern recognition and making predictions.
• Generative AI is like a creative artist that is more adaptable while traditional AI is like a skilled analyst that is limited to its predefined rules and data patterns.
• Generative AI is used for generating content and unique artwork, along with computer codes and product prototypes. Traditional AI, on the other side, deals with fraud detection, medical diagnosis and recommendation systems.

You can find the list of some important technical and soft skills that you will learn after pursuing Generative AI courses here:

Generative AI is basically a type of AI that is all about creating all sorts of digital content, including text, images, videos, or audio in response to user prompts. Gen AI is more about creation after learning from existing dataset patterns rather than analysis or categorization like the traditional AI. This powerful tool has the capacity to transform the industry landscape by bringing in automation and innovation.

SFSU offers an MS in Data Science and AI program designed to teach students the fundamentals of computer science, statistics, machine learning, and AI theory and its application. Graduates of this course are well prepared for roles like Data Scientists, AI Engineers, or Machine Learning Specialists. Their average starting salary typically ranges from USD 116,000 to USD 160,000. The program generally goes on for 18 months, and the tuition fees are around INR 14 L.

M.Tech in Artificial Intelligence & Data Science at IIITDM Kurnool, last round cutoff 2025 is 413 for students belonging to the General All India Quota. This is the most sought-after course specialisation at IIITDM Kurnool for this year. For the OBC AI quota, the same course had a cutoff score of 360. For students belonging to the SC category All India quota accepting score is 327. Students can check the table below for the first and last round closing scores.