Training Courses @ Oxysoft

        At Oxysoft Ai Solutions and Research Foundation, we believe in empowering individuals with future-ready skills through cutting-edge, hands-on training programs. Our courses are designed to bridge the gap between theoretical knowledge and practical application, enabling learners to thrive in research, industry, and innovation-driven environments.

1. Flutter Developer

                                                                                        Duration   :  380 Hours | Mode: On-Site (Hands-on Projects)
Overview:
This intensive course is designed to equip participants with the skills to build cross-platform mobile applications using Flutter. It covers everything from Dart programming basics to advanced app deployment, integrating APIs, database connectivity, and performance optimization. Learners will work on real-world projects that simulate industry requirements, ensuring they gain practical and job-ready skills.

Learning Outcomes:

• Master the fundamentals of Dart and Flutter frameworks.

• Design and develop cross-platform apps for Android and iOS.

• Integrate APIs, databases, and authentication systems.

• Apply state management solutions (Provider, Riverpod, Bloc).

• Deploy apps to Google Play Store and Apple App Store with best practices.

2. AI with Data Analytics

                                                                                                 Duration: 380 Hours | Mode: On-site(Hands-on Labs)
Overview:
This course introduces participants to Artificial Intelligence and Data Analytics, focusing on how data can be transformed into actionable insights. It covers statistical foundations, data preprocessing, visualization, and advanced AI techniques including machine learning and deep learning models. Special emphasis is placed on real-world applications in business, healthcare, and agriculture, preparing learners for careers in the AI-driven future.

Learning Outcomes:

• Understand the fundamentals of data collection, cleaning, and visualization.

• Apply statistical and machine learning models for prediction and classification.

• Explore AI applications in healthcare, finance, and agriculture.

• Gain hands-on experience with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and Keras.

• Develop end-to-end AI solutions and present analytical reports.
  
  

3. AI-Driven Healthcare Analytics

Duration: 6 Weeks | Mode: Hybrid (Online + Hands-on Labs)

Overview:
This course introduces participants to the fundamentals of predictive analytics in healthcare, focusing on real-world datasets and non-invasive diagnostic tools. Topics include data preprocessing, machine learning for disease prediction, speech signal processing, and wearable technology integration.

Learning Outcomes:

• Understand the principles of predictive science in healthcare.

• Build machine learning models for disease detection (e.g., Parkinson’s, Diabetes, Cardiovascular Disease).

• Analyze bio signals and develop non-invasive diagnostic applications.

4. Python Programming for Research and Engineering

Duration: 4 Weeks | Mode: Online / Onsite

Overview:
A foundational course tailored for students and professionals seeking to master Python for scientific computing and research. The program covers core programming concepts, data structures, visualization, and integration with tools like NumPy, Matplotlib, and SciKit-learn.

Learning Outcomes:

• Write efficient and modular Python programs for data analysis.

• Implement algorithms relevant to engineering and research applications.

• Use Python libraries to solve real-world problems and automate tasks.

5. Bio-Inspired Optimization Techniques

Duration: 5 Days | Mode: Workshop / Bootcamp

Overview:
This advanced-level training explores optimization algorithms inspired by nature, such as Genetic Algorithms, Particle Swarm Optimization, and custom algorithms like the Lion’s Pride Inspired Algorithm. Participants apply these techniques to engineering, medical, and computational problems.

Learning Outcomes:

• Understand the design and working of nature-inspired algorithms.

• Apply bio-inspired models to real optimization problems.

• Customize and test algorithms for research and academic projects.
  
  

Each course includes project-based assessments, certification, and opportunities to collaborate on live research projects at Oxysoft. We welcome students, researchers, and professionals from diverse backgrounds to learn, build, and lead with us.