Unlock Your True Potential with Expert Data Science and AI Training
Transform you to a Data Science Professional, achieve your goals and live the life you deserve.
Relsoft Systems Trivandrum
Empowering Learners to Master Data Science & Artificial Intelligence
Our Major Training Programs
Data Analytics Training
Become a Data Scientist and get high Salary Jobs
Advanced Training
Python Programming
Most demanding Computer Language used for Artificial Intelligence and Data Analytics.
Premium Services
Artificail Intelligence & Machine Learning
AI & ML has very big oppertunities in almost all domains.
Most Promising
Microsoft Power BI
you will be capable of creatig Powerful abd beautifyl Dasbords for any domain
Highly demanding course
About Us
We want to give you the best services
We Empower your talent to drive your career most promising. Our Training Team consists of persons having lot of accademic and Industry experience. Enrich learning solutions with tailored paths to AI ML experts.
Guaranteed Results
Quality Services
Our Professional Courses
Upgrade your skills with industry-ready AI, Data Science & Analytics programs
Artificial Intelligence & Machine Learning
Duration: 16 HoursLearn the foundations of AI, machine learning algorithms, hands-on modelling, and real-world applications.
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Business Analytics
Duration: 16 HoursDevelop analytical thinking, BI skills, and data-driven decision-making methodologies.
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Power BI
Duration: 12 WeeksMaster dashboards, DAX, visuals, and automated BI reporting for business insights.
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Python for Data Science
Duration: 12 WeeksFrom Python basics to NumPy, Pandas, visualization, and machine learning foundations.
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Introduction to Machine Learning
Duration: 12 WeeksExplore supervised and unsupervised learning, model training, evaluation, and deployment basics.
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R Programming
Duration: 8 WeeksLearn R for statistics, visualization, modelling, and data analysis workflows.
View DetailsAdvanced AI & Applied Data Science with Python
An intensive 16-week professional program — Deep Learning, NLP, Computer Vision, MLOps & Industry Projects
Mode: Online / Classroom
Duration: 16 Weeks (Weekend / Weekday batches)
Level: Advanced / Professional
Starts: Flexible intake — Enroll anytime
Seats limited • Certificate & Capstone Project
Course Overview
This course trains professionals to design, implement and deploy advanced AI systems using Python. Combining theory with hands-on labs and a capstone, you will master deep learning architectures, natural language processing, computer vision, and MLOps practices used in production.
What You’ll Learn
- Advanced neural network architectures: Transformers, ResNets, EfficientNets.
- Production-ready ML workflows: data pipelines, model versioning, CI/CD for ML.
- NLP at scale: tokenization, pretrained LLM fine-tuning, retrieval-augmented generation (RAG).
- Computer Vision: object detection, segmentation, image generation.
- Time series & forecasting, anomaly detection, and interpretability.
- Experimentation, hyperparameter tuning, and model debugging.
Prerequisites
You should be comfortable with Python programming, basic machine learning (linear models, decision trees), probability, and have worked with Pandas & NumPy. Prior exposure to deep learning (Keras/PyTorch) is recommended.
Syllabus (16 Weeks — Suggested)
Module 1 — Python for Data Science (Refresher, 1 week)
Advanced Pandas, performance tips, NumPy internals, batching, memory profiling.
Module 2 — Applied Machine Learning (2 weeks)
Feature engineering, pipelines, cross-validation, ensemble methods and interpretability.
Module 3 — Deep Learning Foundations (2 weeks)
Neural nets from scratch, optimization, regularization, PyTorch fundamentals.
Module 4 — Computer Vision (2 weeks)
Convolutional nets, transfer learning, object detection (YOLO/Detectron2), segmentation, image augmentation.
Module 5 — Natural Language Processing (3 weeks)
Tokenization, attention, Transformers, fine-tuning BERT/LLMs, RAG and retrieval systems.
Module 6 — Time Series & Advanced Topics (1 week)
Forecasting methods, Prophet, deep time-series models, anomaly detection.
Module 7 — MLOps & Production (3 weeks)
Model packaging, Docker, APIs, monitoring, model registry, deployment patterns (cloud/edge), scaling.
Module 8 — Capstone Project & Evaluation (2 weeks)
Real-world dataset project: problem definition, solution design, presentation, code review & deployment demo.
Assessment & Certification
Assessments include weekly labs, mid-course project checkpoint, and the final capstone evaluation. On successful completion you will receive a certificate from Relsoft Systems and a GitHub repo documenting your capstone.
Tools & Stack
Python, Jupyter, PyTorch/TensorFlow, Hugging Face Transformers, scikit-learn, Docker, Git, MLflow, PostgreSQL/BigQuery (optional), cloud deployment (AWS/GCP/Azure examples).
Capstone Examples & Project Support
Students will choose one capstone from industry-aligned problem statements such as:
- End-to-end sales forecasting & inventory optimization for retail
- Document understanding and RAG-based QA for enterprise knowledge bases
- Real-time object detection & tracking for smart surveillance
- Anomaly detection pipeline for sensor/time-series data
How to Apply
- Fill the online application or email us at [email protected]
- Attend a short screening interview
- Receive your batch allocation and fee invoice
Course Content
About Us
Empowering Learners to Master Data Science & Artificial Intelligence
We are a team of passionate trainers dedicated to delivering high-quality, industry-relevant training in Data Science, Artificial Intelligence, and Advanced Analytics.
We have extensive academic and industry experience
we help students and professionals build strong foundations and hands-on skills to succeed in the rapidly evolving world of data.
🎯 Our Mission
To Make Every Learner Industry-Ready
Our mission is to equip learners with the technical expertise, analytical thinking, and practical experience needed to solve real-world business problems using data-driven approaches.
We focus on concept clarity, hands-on projects, and continuous learning, ensuring every student becomes confident and job-ready.
🧠 Who We Are
Experienced Trainers in Data Science & AI
🚀 What Makes Us Different
A Unique Approach to Data Science Education
🔹 Hands-on, project-driven learning
Every module includes real datasets, coding exercises, and capstone projects.
📘 Our Training Philosophy
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