Master AI & ML : Build Your Own AI Models with Python

Are you a PhD research scholar looking to integrate Artificial Intelligence and Machine Learning into your research? Our specialized AI & ML training program is designed exclusively for doctoral candidates and academic researchers, equipping you with cutting-edge skills and hands-on experience to enhance the impact of your research.

Become a highly paid prompt engineer (Average Salary 17LPA)

No prior Technical or AI knowledge required

Save upto 2 Hours Everyday

Grow your salary upto 3X

On March 24, 2025

20 days

Live Session

07:00 PM Onwards


Get certified by CS Software Solutions to highlight your AI tool capabilities in your resume

Learn from BITS Pilani alumni

Be among the top 1% professionals to avoid being laid off

No technical AI knowledge required to master AI tools

Proven to reduce your work by 2 hours daily


Why join this course ? 🤷🏻‍♂️


Research-Focused Learning - Gain in-depth knowledge of AI, Machine Learning, and Deep Learning with direct applications to academic research

Advanced Topics for Research Scholars - Explore :

AI Applications in Research
Computer Vision for Scientific Data Analysis
Natural Language Processing (NLP)
Large Language Models (LLMs)
Image Processing for Scientific and Medical Research
Remote Sensing and LULC Classification for Environmental Studies
AI-driven Data Analytics for Research Insights
Predictive Modelling and Statistical AI Applications
Reinforcement Learning in Scientific Research
Ethical AI and Bias Mitigation in Research Studies

Hands-on Research Training - Implement AI techniques in real-world research projects, enhancing the quality and efficiency of your PhD research.

Expert Guidance from AI Researchers - Learn from leading academics and AI specialists who have extensive experience in applying AI to research domains.

Personalized Mentorship for PhD Scholars - Get one-on-one guidance on integrating AI methodologies into your dissertation or thesis.

Enhance Research Productivity - Use AI-powered tools to analyze complex data.

Flexible Learning for Researchers - Access online sessions, recorded lectures, and supplementary materials tailored for research scholars.

Boost Academic and Career Prospects - Gain AI expertise that will increase the impact of your research, improve citation rates, and open new career opportunities in academia and industry.

Who should join ?


Research Scholars & PhD Students

Academicians & Educators

Data Scientists & AI Enthusiasts




Professionals Seeking AI & ML Expertise

Anyone Passionate About Cutting-Edge AI Technologies

Scholars Seeking Advanced AI Methodologies for Thesis and Publications

What you will learn ?

  • AI & ML Fundamentals for Research Understanding AI techniques relevant to academic investigations.
  • Deep Learning & Neural Networks for Scientific Applications Implement advanced models for data analysis.
  • Computer Vision for Research Data Processing Apply AI to analyze complex images and datasets.
  • NLP for Research Paper Analysis & Writing Automate literature reviews and academic content creation.
  • Large Language Models (LLMs) Leverage AI-driven models to enhance research accuracy and efficiency.
  • Remote Sensing & LULC Classification for Scientific Studies Use AI for geospatial and environmental research.
  • Predictive Analytics for Research Outcomes Build AI models to forecast trends and make data-driven decisions.
  • AI Ethics & Bias Mitigation in Research Ensure transparency and reliability in AI-based studies.
  • AI for Research Innovation & Publications Learn AI techniques to publish high-impact research papers.

Course Curriculum


  • AI’s Role in Scientific Discovery
  • AI’s Role in Scientific Discovery
  • AI Techniques for Data-Driven Studies

  • Applying Neural Networks to Scientific Data
  • Convolutional Neural Networks (CNNs) for Image-Based Research
  • RNNs and Transformers in Text and Data Interpretation

  • AI for Microscopy and Biomedical Imaging
  • Object Detection and Recognition for Lab Data
  • AI for Satellite and Environmental Studies

  • AI-Powered Literature Review Automation
  • Citation Analysis and Text Summarization
  • LLM Applications for Research Writing

  • AI for Climate and Environmental Research
  • Remote Sensing Techniques for Data Interpretation
  • AI in Geospatial Studies

  • AI for Large-Scale Data Processing
  • Predictive Models for Research Hypotheses
  • Statistical AI Techniques for Academic Research

  • AI Transparency & Explainability in Research
  • Addressing Bias in Academic AI Models
  • Ensuring Fairness in AI-driven Research Studies

  • Real-World Applications of AI in Research Fields
  • Implementing AI in Doctoral Research
  • Final Research Project and Certification

Exclusive Benefits for PhD Scholars


📖 Integrate AI into Your Dissertation – Gain practical AI skills to enhance your PhD research and thesis.

📊 Enhance Data Analysis Capabilities – Learn how to leverage AI-driven tools for complex research data processing.

📚 Prior AI Experience Required – This course is tailored to researchers from all disciplines, even if they don’t have a technical background.

📑 Automate Research Workflows – Save hours of manual work by using AI-powered automation for data analysis.

📜 Get Certified by Leading AI Experts – Obtain a research-focused AI certification to strengthen your academic portfolio.

👨‍🏫 Guidance from AI Researchers – Benefit from expert mentorship and collaboration opportunities in AI-driven research.


About Our Expert


Rasheed Shaik,

M. Tech, NIT Raipur
Ph.D. BITS Pilani

Rasheed Shaik is a distinguished AI researcher, educator, and industry expert with over eight years of experience in advancing AI applications for academic research. He holds an M. Tech from NIT Raipur and is currently pursuing a Ph.D. at BITS Pilani, specializing in Digital Twin and Peer-to-Peer (P2P) Energy Trading.

As the Founder & CEO of CS Software Solutions, Rasheed has mentored and trained numerous Ph.D. scholars and research professionals, enabling them to leverage AI for ground-breaking academic contributions. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Image Processing, and Remote Sensing.

With a strong commitment to research-driven learning, Rasheed provides hands-on, industry-aligned training, equipping scholars and professionals with the skills to seamlessly integrate AI into their academic and research pursuits. His work bridges the gap between cutting-edge AI innovations and practical, real-world applications, driving advancements in academic industry.


Get a Certificate Upon Course Completion


Reviews

It has been a good choice, especially because of the practical part of the course, which has helped me reinforce and consolidate my knowledge in RL.
ANOOP
I have purchased this course to enhance my skills as AI Engineer. I got promotion after getting certificate. Thanks.
Karthik
Ultimately just a small taste of the possibilities, but a great introduction with some aha moments and practical application in Python. Enthusiastic, motivating tutorial.
Rohit
This course was really a good introduction to this new concept of AI which is currently a hot topic in the market. It really helped me to grasp new concepts in AI quickly and got me thinking about how they can be implemented in the real world applications.
Nitin
I enjoyed this course a lot! It introduced me to loads of information that I had no idea about previously and it was very fun going through it!!😁
Sanjay

Frequently Asked Questions


  • Practical Learning: Hands-on projects and real-world examples
  • Research-Oriented Approach: Tailored for academic and industry applications
  • Expert Guidance: Learn directly from an AI industry expert
  • Certification: Receive a course completion certificate
Yes! The course includes multiple hands-on projects where you will apply AI/ML techniques to solve real-world problems.
The course is available in both online live.

You can enrol in our course by following these steps:
1. Fill out the enrolment form with the required details.
2. Click the "Enroll Now" button to proceed.
3. Make the payment to complete your enrolment.
Once the payment is confirmed, you will receive further details about the course.

Yes! Personalized mentorship is available for learners who need dedicated guidance on AI/ML projects and research.

Completing this course can open doors to careers in:

  • AI & ML Engineering
  • Data Science & Analytics
  • Research & Academic Roles
  • Computer Vision & NLP Development
  • AI-Driven Automation & Software Development
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