Completed Certificates
Building a strong portfolio through various certifications, I have demonstrated expertise in multiple domains, particularly Machine Learning, Cloud Computing, Web Development, and Data Science. Here is a detailed breakdown of my certifications, highlighting technical skills, projects, and key learning outcomes:
1. Machine Learning Specialization by Andrew Ng, Stanford University
This certification, taught by Andrew Ng, one of the pioneers in Artificial Intelligence and Machine Learning, has been a foundational experience for my learning journey. The specialization provided in-depth knowledge of machine learning algorithms and real-world applications. It covered:
Andrew Ng – A globally recognized AI pioneer, Andrew's courses on Coursera have been instrumental in building a strong foundation in machine learning. His work at Stanford, Google Brain, and Baidu has been critical to advancing the AI landscape.
- Supervised Learning: Mastered concepts like Linear Regression, Logistic Regression, and Neural Networks, which are critical for building predictive models.
- Unsupervised Learning: Learned clustering techniques and anomaly detection.
- Neural Networks and Deep Learning: Gained hands-on experience with TensorFlow to develop models for multi-class classification tasks.
- Decision Trees & Ensemble Methods: Acquired skills in using decision trees, random forests, and boosting methods for complex predictive tasks.
- Recommender Systems: Implemented collaborative filtering and content-based methods for building recommendation engines.
- Reinforcement Learning: Gained insights into building deep reinforcement learning models for advanced AI systems.
This program solidified my technical expertise in Python, NumPy, Scikit-learn, and TensorFlow while developing models to tackle real-world machine learning challenges.
Andrew Ng
- Role and Influence
- Co-founder of Coursera
- Renowned AI and Machine Learning educator
- Notable Courses
- Machine Learning: Foundations of algorithms and predictive modeling
- Deep Learning Specialization: Advanced techniques in neural networks
- Impact
- Provided a comprehensive understanding of AI and ML
- Influenced global education in these fields
2. Cohort 0 to 1 by Harkirat Singh
This comprehensive course provided a deep dive into modern full-stack web development, covering both front-end and back-end technologies. Taught by Harkirat Singh, an expert in full-stack development, this course was transformative in strengthening my skills in web technologies:
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Backend:
- Mastered asynchronous JavaScript and deep-dived into databases like MongoDB and PostgreSQL.
- Gained proficiency in backend frameworks like Express and deploying Node.js applications.
- Implemented ORMs, middleware, global error handling, and scaling Node.js applications for production environments.
- Worked on serverless backends, OpenAPI specifications, and external authentication libraries.
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Frontend:
- Built dynamic UI components using React and managed state efficiently with Context API and Recoil.
- Styled responsive interfaces using Tailwind CSS.
- Developed custom React hooks and worked with frameworks like Next.js for server-side rendering.
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DevOps:
- Gained hands-on experience in deploying containerized applications with Docker and Nginx.
I worked on several projects, including a full-scale Paytm/Wallet clone and contributed to an open-source project as part of the Google Summer of Code (GSoC), gaining exposure to industry-level challenges and solutions.
Harkirat Singh – A distinguished developer and instructor, Harkirat's deep understanding of web technologies and software development has guided me in mastering full-stack development. His mentorship during the Cohort 0 to 1 program allowed me to work on complex projects and build robust applications.
Harkirat Singh
- Current Role
- Founder of Kirat Technologies
- Specialist in WebRTC and Web3 technologies
- Expertise
- Scaling WebRTC and Web3 infrastructures
- Real-time communication and blockchain applications
- Achievements
- Worked on the Backpack Application a cyrpto currency mobile wallete project
- Mentor in Web3 and real-time applications
3. Python for Machine Learning & Data Science Masterclass (Udemy)
This course provided a comprehensive learning path in Python, Data Science, and Machine Learning. I enhanced my Python programming skills and learned critical tools like:
- Data Analysis: Utilized libraries such as NumPy and Pandas for data manipulation and analysis.
- Visualization: Created insightful data visualizations using Matplotlib and Seaborn.
- Machine Learning: Built and deployed supervised models for classification and regression tasks using Scikit-learn.
- Feature Engineering: Conducted feature engineering and preprocessing on real-world datasets to enhance model performance.
- ML Pipeline: Developed end-to-end machine learning pipelines for real-world projects, from data collection to model deployment.
- API Development: Deployed machine learning models as interactive APIs to demonstrate practical business use cases.
Through various coding exercises and hands-on projects, I built a strong portfolio of data science projects, solving real-world problems and gaining critical machine learning and data visualization skills.
4. Google Cloud Bootcamp – GeeksforGeeks
This bootcamp, sponsored by Google, deepened my understanding of Google Cloud Platform (GCP) and cloud computing principles. Key areas of expertise gained include:
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Cloud Infrastructure:
- Set up and managed core GCP services such as Compute, Storage, and Networking.
- Implemented Identity and Access Management (IAM) for secure cloud infrastructure.
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Deployment & Automation:
- Automated cloud infrastructure deployment and managed applications using GCP services.
- Focused on optimizing performance, monitoring, and security for production environments.
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Practical Labs:
- Completed hands-on labs deploying cloud solutions, troubleshooting performance issues, and optimizing GCP-based applications.
This bootcamp equipped me with the skills necessary to excel in the fast-growing cloud computing industry.
5. Mastering Data Structures and Algorithms using C / C++ - Udemy
- Skills Acquired
- In-depth understanding of data structures (e.g., arrays, linked lists, stacks, queues, trees, graphs)
- Proficiency in implementing algorithms for sorting and recursion
- Advanced problem-solving and analytical skills
- Technologies Learned
- C and C++ programming languages
- Recursion and Sorting Algorithms
- Data Structures Implementation
- Course Highlights
- Comprehensive 58.5-hour course with practical coding examples
- Whiteboard explanations to enhance problem-solving skills
- Access to 276 downloadable resources and full lifetime access
- High rating (4.6/5) and a bestseller status with over 203,000 students
- Interesting Aspects
- Detailed line-by-line coding tutorials
- Focus on both theoretical and practical aspects of data structures
- Ability to solve complex problems efficiently
Abdul Bari – A renowned educator in algorithms and data structures, Abdul Bari's clear and insightful teaching methods have been fundamental in my understanding of core computer science principles. His content has been a continuous source of learning and inspiration in my technical journey.
Abdul Bari
- Background
- Former software developer turned educator
- Expert in C++ programming and algorithms
- Teaching Style
- Simplifies complex programming concepts
- Emphasizes practical coding projects and active learning
6. JavaScript Algorithms and Data Structures - Free Code Camp
- Skills Acquired
- Mastery of JavaScript algorithms and data structures
- Implementation of sorting algorithms, recursion, and dynamic programming
- Enhanced problem-solving skills using JavaScript
- Technologies Learned
- JavaScript programming language
- Algorithms and data structures specific to JavaScript
- Course Highlights
- Comprehensive curriculum covering fundamental and advanced algorithms
- Hands-on coding challenges and projects
- Integration of theoretical knowledge with practical applications
- Interesting Aspects
- Free and open-source learning platform
- Practical projects to solidify understanding and application
7. Java Training - Spoken Tutorial IIT Bombay
- Skills Acquired
- Proficiency in Java programming
- Understanding of core Java concepts and object-oriented programming
- Technologies Learned
- Java programming language
- Core Java libraries and tools
- Course Highlights
- Structured training with a focus on practical coding skills
- Video tutorials and interactive exercises
- Interesting Aspects
- Comprehensive coverage of Java essentials
- Training from a renowned institution (IIT Bombay)
8. Research Paper & Poster Presentation Multicon - W 2023
- Skills Acquired
- Research methodology and paper writing
- Poster design and presentation skills
- Technologies Learned
- Research tools and techniques
- Visual communication and presentation
- Course Highlights
- Opportunity to present research findings
- Engagement with academic and professional audiences
- Interesting Aspects
- Experience in academic research and public speaking
- Networking with peers and experts in the field
9. Engineering Workshop Multicon - W 2023
- Skills Acquired
- Practical engineering skills and workshop experience
- Collaborative problem-solving and project execution
- Technologies Learned
- Engineering tools and methodologies
- Course Highlights
- Hands-on workshop with real-world applications
- Interaction with industry professionals
- Interesting Aspects
- Practical experience in engineering projects
- Exposure to latest engineering practices and technologies
10. Complete Panda for Absolute Beginners 2023 - Udemy
- Skills Acquired
- Fundamental knowledge of the Panda library for data analysis
- Data manipulation and analysis techniques
- Technologies Learned
- Panda library in Python
- Course Highlights
- Beginner-friendly approach with step-by-step instructions
- Practical exercises for real-world data analysis
- Interesting Aspects
- Hands-on learning with Python’s Panda library
- Suitable for beginners and data enthusiasts
11. Python and Flask Demonstration Practice Course - Udemy
- Skills Acquired
- Building web applications using Python and Flask
- Understanding of web development frameworks
- Technologies Learned
- Python programming language
- Flask web framework
- Course Highlights
- Demonstrative practice with real-world examples
- Comprehensive coverage of Flask for web development
- Interesting Aspects
- Practical approach to building web applications
- Emphasis on hands-on coding and project development
12. Figma From Start To Finish: Design Like a Pro Hindi - Udemy
- Skills Acquired
- Proficiency in using Figma for UI/UX design
- Design principles and best practices
- Technologies Learned
- Figma design tool
- Course Highlights
- Complete guide from basic to advanced design techniques
- Design projects and practical exercises
- Interesting Aspects
- Focus on professional design skills
- Hindi language instruction for better understanding