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Enrolled Certificates

· 5 min read
Meet Jain
Meet Jain
Author

In September 2024, I enrolled in several advanced courses to further enhance my skills in cutting-edge technologies and industry practices. These courses cover a range of topics from deep learning and system design to backend communication and machine learning. Here’s a brief overview of the certificates I’m pursuing:

  • Deep Learning Specialization by Andrew Ng: A comprehensive program focusing on deep neural networks, convolutional and recurrent networks, and transformers using TensorFlow and HuggingFace. This specialization provides hands-on experience with real-world projects and advanced optimization techniques.

  • Cohort 1 to 100 by Harkirat Singh: An intensive course that delves into advanced backend communication, system design, and DevOps practices. It covers technologies such as Redis, Kafka, Docker, Kubernetes, and serverless computing, with practical projects and real-world applications.

  • Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]: This course offers in-depth knowledge of machine learning algorithms, dimensionality reduction, and natural language processing. It provides hands-on experience with Python, R, and ChatGPT, and includes real-life case studies and practical exercises.

Deep Learning Specialization by Andrew Ng​

Instructor:

  • Andrew Ng: Co-founder of Coursera, Stanford University Professor, and a pioneer in the field of deep learning.

Skills Gained:

  • Deep Neural Networks: Build and train complex neural network architectures.
  • Convolutional Neural Networks (CNNs): Apply CNNs for visual detection, recognition tasks, and neural style transfer.
  • Recurrent Neural Networks (RNNs): Develop RNNs for NLP tasks and sequence modeling.
  • Transformers: Implement transformers and leverage HuggingFace tokenizers for Named Entity Recognition and Question Answering.
  • Optimization Techniques: Use strategies like Dropout, BatchNorm, and Xavier/He initialization to improve model performance.
  • TensorFlow: Build and deploy neural networks using TensorFlow.

Technologies:

  • TensorFlow: For building and training neural networks.
  • Keras: Integrated with TensorFlow for easy model building.
  • HuggingFace Transformers: For advanced NLP tasks.

Course Highlights:

  • 5-Course Series: Comprehensive coverage of deep learning fundamentals and advanced techniques.
  • Applied Learning Project: Real-world projects including speech recognition, chatbots, and machine translation.
  • Flexible Schedule: Learn at your own pace with an estimated time commitment of 10 hours per week over 3 months.
  • Shareable Certificate: Add this credential to LinkedIn and resumes.

Here’s a bullet-point summary of the Cohort 1 to 100 course by Harkirat Singh for your portfolio website:

Cohort 1 to 100 by Harkirat Singh​

Instructor:

  • Harkirat Singh: Founder of Kirat Technologies, specialist in WebRTC and Web3 technologies, and a mentor in real-time communication and blockchain applications.

Skills Gained:

  • Advanced Backend Communication: Mastered message queues, Pub/Sub systems, and scalable backend communication strategies.
  • System Design: Implemented design patterns, proxies, and load balancers for efficient system architecture.
  • Database Concepts: Deep dive into advanced database techniques including indexing, normalization, sharding, and replication.
  • Rate Limiting & Security: Applied rate limiting, captchas, and DDoS protection to safeguard applications.
  • Scaling Techniques: Developed expertise in horizontal and vertical scaling, as well as capacity estimation for large-scale systems.
  • Real-Time Communication: Gained knowledge of WebRTC basics and real-time data transmission.
  • DevOps Practices: Hands-on experience with Docker Swarm, Kubernetes, CI/CD pipelines, and advanced monitoring systems using Prometheus and Grafana.
  • Serverless Architecture: Explored serverless computing with AWS constructs such as EC2, S3, CDNs, and EKS.

Technologies:

  • Backend Technologies: Redis, Kafka, Proxies, Load Balancers.
  • Database Technologies: Advanced SQL and NoSQL databases.
  • DevOps Tools: Docker, Kubernetes, Prometheus, Grafana, New Relic.
  • Serverless Computing: AWS Services.

Course Highlights:

  • Comprehensive Syllabus: Covers advanced backend communication, system design, database management, and DevOps.
  • Hands-On Projects: Worked on real-world projects like Zerodha and Zapier, and contributed to open source projects.
  • Real-World Application: Practical experience with complex projects and industry-standard technologies.

Instructor Highlights:

  • Current Role: Founder of Kirat Technologies, specializing in WebRTC and Web3 technologies.
  • Expertise: Scaling WebRTC infrastructures, real-time communication, and blockchain applications.
  • Achievements: Developed the Backpack Application (a cryptocurrency mobile wallet) and serves as a mentor in Web3 and real-time applications.

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]​

Instructors:

  • Data Science Experts: Learn from experienced practitioners in the field of machine learning.

Skills Gained:

  • Machine Learning Algorithms: Master algorithms for regression, classification, clustering, and reinforcement learning.
  • Python & R: Proficiency in Python and R for building and deploying machine learning models.
  • Dimensionality Reduction: Techniques like PCA and LDA for reducing dataset complexity.
  • Natural Language Processing (NLP): Implement NLP algorithms and techniques.
  • Model Selection & Boosting: Techniques like Grid Search and XGBoost for model optimization.

Technologies:

  • Python & R: For coding and implementing machine learning models.
  • Google Colab: Platform for coding exercises and practical applications.
  • ChatGPT: Use AI tools to enhance machine learning skills.

Course Highlights:

  • Comprehensive Coverage: From basic to advanced machine learning techniques including reinforcement learning and NLP.
  • Real-Life Case Studies: Practical exercises and coding templates for hands-on learning.
  • Flexible Learning: Full lifetime access with the option to focus on specific sections as needed.
  • Certification: Certificate of completion to showcase skills on LinkedIn and resumes.

These bullet points should help you effectively communicate the skills and knowledge gained from the courses in your portfolio website.