Skillfloor: Affordable (course fee ~ ₹14,900), good for freshers, offers flexible online/offline data-science training, hands-on projects, internship/placement assistance. 

Datamites: Well-known institute for Data Science & AI training, many alumni, global certification (via IABAC), and reportedly good placement assistance and industry connections. 

Other full-fledged colleges / institutions (for degree + long-term education)

International School of Engineering (INSOFE): Offers data-science / big data analytics, with branches including Bengaluru. 
Wikipedia

You may also consider formal BSc/BE/BTech + specialisation options at other universities or institutes — depending on your budget and long-term plans.

The specialisations in AI and Data Science offered by Shri Ramswaroop Memorial University (SRMU) for the CSE/related programmes contribute positively towards placements — but like any institution, their effectiveness depends on how the student leverages them.

Why the specialisations help:

1. SRMU has defined programmes such as B.Tech in CSE (Artificial Intelligence & Machine Learning) and BCA in Data Science & Artificial Intelligence, where the curriculum emphasises emerging technologies (e.g., neural networks, deep-learning, big data, computer vision) and hands-on labs. 

2. The placement cell at SRMU reports strong efforts: partnerships with industry, placement-assistance training, and a claimed 90 % placement rate in CMM level-5 companies. 

3. For students specialising in AI/Data Science, the domain itself is in demand, which adds value to their CV and improves chances of being recruited for data-/AI-focused roles.

Why the specialisations are moderately effective (and what to watch):

1. While the highest packages at SRMU have gone up (e.g., one report shows a the highest package of ₹30 LPA in 2025) the average package remains modest  for many programmes.

2. The placement statistics vary significantly by branch, batch, student performance and actual uptake of internship/project experience — which are critical in AI/Data Science roles.

3. The specialisation alone does not guarantee placement in top companies or high salary: students must build strong programming, analytics, machine learning skills, project work, internships, and soft-skills to stand out
   
   In short, SRMU's AI & Data Science specialisations provide a good foundation and reasonable placement support, especially if the student actively engages with labs, internships and industry-aligned projects. For excellent placements (top companies, high salary), the student will need to go the extra mile (strong performance, strong portfolio, relevant internships) rather than rely solely on the specialisation label.