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Prof Suvasish

Prof Suvasish Mukhopadhyay  |2733 Answers  |Ask -

Career Counsellor - Answered on Jul 05, 2025

Professor Suvasish Mukhopadhyay, fondly known as ‘happiness guru’, is a mentor and author with 33 years of teaching experience.
He has guided and motivated graduate and postgraduate students in science and technology to choose the right course and excel in their careers.
Professor Suvasish has authored 47 books and counselled thousands of students and individuals about tackling challenges in their careers and relationships in his three-decade-long professional journey.... more
Asked by Anonymous - Jul 03, 2025Hindi
Career

For working professional, what correspondence courses available on AI and their order of preference

Ans: For working professionals interested in Artificial Intelligence (AI), a wide range of online courses are available—many of which offer flexible, self-paced learning options. These courses vary in depth and focus, making it easier to choose one that suits your career goals and background. Here's a suggested learning path, starting from foundational concepts and moving toward more specialized topics:

1. Foundational & Introductory AI Courses:
• AI for Everyone (by DeepLearning.AI, Coursera)
Ideal for non-technical professionals, this course provides a high-level overview of AI concepts, real-world applications, and its impact on business. It’s great for understanding AI’s potential without needing to dive into technical coding or algorithms.

• Introduction to Artificial Intelligence (by IBM, Coursera)
This beginner-friendly course covers the basics of AI, including common terminology and real-life use cases. It also explores how AI is transforming industries and career landscapes through interviews with experts.

• AI Foundations for Everyone (by IBM, Coursera)
A solid starting point for anyone looking to grasp the fundamental building blocks of AI and how they're used in various domains.

2. Specialized Courses (Choose based on your career interests):
• Machine Learning (by DeepLearning.AI, Coursera)
A must-have for many AI roles, this course teaches the basics of machine learning, including core algorithms and how they are applied in practice.

• Deep Learning Specialization (by DeepLearning.AI, LearnDataSci)
Perfect for those looking to go deeper, this specialization covers neural networks, deep learning models, and their practical applications across industries.

• Natural Language Processing (NLP) (various providers)
If your work involves analyzing or generating text, NLP is essential. Stanford’s CS224N (available on some platforms) is a well-known, in-depth course on this topic.

• Computer Vision (various providers)
Focused on teaching machines to interpret visual data, this specialization covers image and video analysis. Courses like Introduction to Computer Vision and Image Processing (IBM, Coursera) are a great entry point.

• Generative AI (various providers)
A fast-evolving field. Courses such as Generative AI: Prompt Engineering Basics (IBM, Coursera) introduce you to tools that generate new content, from text to images.

3. Industry-Specific AI Courses:
• AI for Human Resources (various platforms)
Designed for HR professionals, these courses explore how AI can improve recruitment, employee engagement, and performance management.

• AI for Project Managers (LinkedIn Learning, TechTarget)
Helps project managers understand how AI can be integrated into workflows, risk assessment, and resource planning.

• AI for Cybersecurity (LinkedIn Learning, TechTarget)
Explores how AI enhances threat detection, response automation, and vulnerability management in the field of cybersecurity.

4. Advanced Specializations:
• AI Software Engineering (various providers)
Focuses on designing and developing AI-powered software systems, covering both backend engineering and deployment practices.

• AI Research Scientist Path (various providers)
Best suited for those with a strong academic background. This path emphasizes advanced theory, research techniques, and the development of new AI models.

• Robotics Engineering (various providers)
For professionals interested in the intersection of AI and robotics. Courses focus on designing intelligent systems capable of interacting with the physical world.

How to Choose the Right AI Course:
Start with a beginner course: If you’re new to AI, begin with a high-level course such as AI for Everyone or Introduction to AI. These will give you the foundational knowledge you need before diving into more technical topics.

Consider your career goals: Choose specialized courses based on your industry or the kind of AI applications that interest you most.

Take your time: Many of these platforms offer flexible timelines, so you can learn at your own pace while balancing work and other commitments.
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Career Counsellor - Answered on Jul 22, 2025

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My son got 245 in bits .He can get any Brecht branch
Ans: Priyanka Madam, by now your son must have been allotted/not allotted any seat by BITS. Please update the status for today. However, please note, A BITSAT score of 245 situates you within the previous two years’ closing-score bands for core engineering streams at the Pilani, Goa, and Hyderabad campuses. At Pilani, the B.E. Chemical Engineering cutoff ranged from 224 in 2023 to 247 in 2024, placing your 245 close to the 2024 threshold and comfortably above 2023’s mark; B.E. Civil Engineering closed at 213 and 238, making admission highly probable; and B.E. Manufacturing Engineering cutoffs of 220 and 243 indicate a strong likelihood of allotment. At Goa, Chemical Engineering closed at 239 in 2024 and 248 in 2023, and Civil around – (not offered in 2024) – but Pilani-equivalent streams suggest safe admission; Manufacturing cutoffs mirror Pilani trends, bolstering your prospects. At Hyderabad, Chemical Engineering cutoffs of 238 and 209 over the two years ensure a secure allotment, while Civil Engineering’s 235–204 band similarly favors your score; Manufacturing at Hyderabad showed closing marks near 218–251, indicating moderate probability. Across campuses, Civil and Manufacturing remain reliably within reach, Chemical at Pilani may require waitlist movement but is feasible given historical fluctuations, and all three streams at Hyderabad and Goa present strong chances. Additional seats open during special iterations further enhance admit probabilities.

Recommendation: Considering consistent cutoff trends and seat matrices, prioritize B.E. Civil and Manufacturing Engineering at BITS Pilani for guaranteed allotment, consider Chemical Engineering at Pilani via waitlist movement, and secure Chemical, Civil, or Manufacturing Engineering at BITS Hyderabad or Goa for assured admission, capitalizing on slightly lower cutoffs and ample seat availability. All the BEST for a Prosperous Future!

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Nayagam P

Nayagam P P  |9268 Answers  |Ask -

Career Counsellor - Answered on Jul 22, 2025

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I am working as Business Analyst from past 4 years but I wanted to move to technical role. I have done Btech in CSE from tier-3 college. I wanted some advise on the the best way to switch to a tech role. 1. Taking some online boot camp to get in-depth knowledge and doing side projects over the weekends 2. Taking WILP from BITS in Software engineering/ data science 3. Prepare from GATE 2026 and aim for IITs
Ans: Manjunath Sir, To shift into a technical position, integrating structured learning, credentialing, and practical experience is essential. The recommended pathway combines immersive project-based training with a recognized postgraduate credential while keeping a long-term goal of elite technical qualification. Begin with a part-time online software engineering or data science bootcamp, dedicating weekends to substantial portfolio projects to build hands-on skills and confidence in key stacks . Concurrently, enroll in BITS Pilani’s Work-Integrated M.Tech (Software Engineering or Data Science & Engineering) to earn a UGC-approved postgraduate degree without leaving your job, benefitting from weekend live classes, remote labs covering full-stack or analytics tools, and a final semester dissertation that bridges theory with organizational impact . This dual track—bootcamp plus WILP—provides immediate upskilling, peer and mentor networks, and a formal degree. After 12–18 months, if aiming for top-tier R&D or core engineering roles, commence GATE 2026 preparation via a structured three-phase roadmap: concept building (June–August), full-length practice (September–November), and final mock-test calibration (December–January), targeting a CSE rank

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