Certifications

  • Dec 21, 2024
    Build Basic Generative Adversarial Networks (GANs)
    DeepLearning.AI
    Components of GANs, WGANs, DCGANs, Controllable Generation, Conditional Generation.
  • Dec 8, 2024
    Generative AI for Everyone
    DeepLearning.AI
    What generative AI is and how it works, its common use cases, and what this technology can and cannot do.The potential opportunities and risks that generative AI technologies present to individuals, businesses, and society.How to think through the lifecycle of a generative AI project, from conception to launch, including how to build effective prompts.Generative AI Tools, Large Language Models, AI strategy, Generative AI, AI Productivity.
  • Dec 5, 2024
    Advanced Computer Vision with TensorFlow
    DeepLearning.AI
    TensorFlow Object Detection API, Class Activation Maps, Model Interpretability, Image Segmentation, Salience.
  • Nov 29, 2024
    Custom and Distributed Training with TensorFlow
    DeepLearning.AI
    Distribution Strategies, GradientTape for Optimization, Custom Training Loops, Basic Tensor Functionality.
  • Nov 28, 2024
    Custom Models, Layers, and Loss Functions with TensorFlow
    DeepLearning.AI
    Functional API, Custom and Exotic Models with Functional API, Custom Loss Functions, Custom Layers.
  • Nov 17, 2024
    Browser-based Models with TensorFlow.js
    DeepLearning.AI
    Train and run inference in a browser, Handle data in a browser, Build an object classification and recognition model using a webcam.
  • Nov 17, 2024
    Data Pipelines with TensorFlow Data Services
    DeepLearning.AI
    Perform efficient ETL tasks using Tensorflow Data Services APIs.Use different modules and functions of the TFDS API to prepare your data for training pipelines.Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API.Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization.
  • Nov 17, 2024
    Device-based Models with TensorFlow Lite
    DeepLearning.AI
    Prepare models for battery-operated devices.Deploy models on embedded systems like Raspberry Pi and microcontrollers.Execute models on Android and iOS platforms.
  • Nov 9, 2024
    Sequences, Time Series and Prediction
    DeepLearning.AI
    Solve time series and forecasting problems in TensorFlow.Prepare data for time series learning using best practices.Explore how RNNs and ConvNets can be used for predictions.Build a sunspot prediction model using real-world data.
  • Nov 9, 2024
    Structuring Machine Learning Projects
    DeepLearning.AI
    Decision-Making, Machine Learning, Deep Learning, Inductive Transfer, Multi-Task Learning
  • Nov 6, 2024
    Natural Language Processing in TensorFlow
    DeepLearning.AI
    Build natural language processing systems using TensorFlow.Apply RNNs, GRUs, and LSTMs in TensorFlow.Process text, including tokenization and representing sentences as vectors.Train LSTMs on existing text to create original poetry and more.
  • Oct 28, 2024
    Convolutional Neural Networks in TensorFlow
    DeepLearning.AI
    Explore strategies to prevent overfitting, including augmentation and dropout.Learn transfer learning and how learned features can be extracted from models.
  • Oct 22, 2024
    Advanced Learning Algorithms
    DeepLearning.AI
    Built and trained neural networks with TensorFlow to perform multi-class classification. Applied best practices for machine learning development to ensure models generalize to data and tasks in the real world. Built and utilized decision trees and tree ensemble methods, including random forests and boosted trees.
  • Oct 9, 2024
    Linear Algebra for Machine Learning and Data Science
    DeepLearning.AI
    Represented data as vectors and matrices and identified their properties using concepts of singularity, rank, and linear independence.Applied common vector and matrix algebra operations including dot product, inverse, and determinants. Expressed matrix operations as linear transformations, and applied concepts of eigenvalues and eigenvectors to machine learning problems.
  • Oct 14, 2024
    Supervised Machine Learning: Regression and Classification
    DeepLearning.AI
    Built machine learning models in Python using popular machine learning libraries NumPy & scikit-learn.Built and trained supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression.
  • Oct 22, 2024
    Unsupervised Learning, Recommenders, Reinforcement Learning
    DeepLearning.AI
    Used unsupervised learning techniques including clustering and anomaly detection.Built recommender systems using collaborative filtering approach and content-based deep learning methods.Built deep reinforcement learning models.
  • Oct 22, 2024
    Machine Learning Specialization
    DeepLearning.AI
    Built ML models with NumPy & scikit-learn, built & trained supervised models for prediction & binary classification tasks (linear, logistic regression).Built & trained neural networks with TensorFlow to perform multi-class classification, & built & used decision trees & tree ensemble methods.Applied best practices for ML development & used unsupervised learning techniques including clustering & anomaly detection.Built recommender systems using collaborative filtering approach & content-based deep learning methods, & developed deep reinforcement learning models.
  • Oct 5, 2024
    Learn Data Analysis with Python
    Dicoding
    Mastered various fundamental concepts of data analysis and its stages.Applied basic concepts of descriptive statistics and their implementation in data analysis processes.Identified critical aspects to consider when processing data.Applied various EDA (Exploratory Data Analysis) techniques to gain comprehensive insights from analyzed data.Utilized effective data visualization techniques to enhance data analysis presentation.Developed interactive dashboards using Streamlit for presenting data analysis results.
  • Sep 18, 2024
    Crash Course on Python
    Google
    Mastered Python fundamentals and its applications in automation.Developed short Python scripts to perform automated actions.Demonstrated proficiency in using basic Python structures: strings, lists, and dictionaries.
  • Sep 28, 2024
    Using Python to Interact with the Operating System
    Google
    Set up, configured, and utilized Python developer environments.Manipulated files and processes running on Operating Systems using Python.Mastered and implemented regular expressions (regex) for efficient text file processing.Demonstrated proficiency in both Bash and Python scripting, creating automation scripts using both languages.
  • Sep 14, 2024
    Fundamentals of Git with GitHub
    Dicoding
    Mastered Git fundamentals including repository creation, file management, git commit, and git checkout operations.Demonstrated proficiency in Git branching concepts, merging operations, and conflict resolution.Applied collaborative development practices including repository forking, squashing changes, and conducting code reviews.Enhanced team collaboration skills through creating new repositories, repository cloning, and managing pull requests in active GitHub repositories.
  • Sep 13, 2024
    Fundamentals of Programming for Aspiring Software Developers
    Dicoding
    Implemented skills through case studies in developing user requirements and technical specifications for applications.Created comprehensive application requirements, system workflows, and flowcharts through practical case studies.Mastered programming fundamentals including syntax theory, variables, data types, computer logic, and JavaScript ES6.Applied software documentation best practices including code archiving, standardized code styling, code commenting, and technical documentation development.
  • Sep 13, 2024
    Introductory Programming Logic (Programming Logic 101)
    Dicoding
    Mastered various types of logic gates including AND, OR, NOT, NAND, NOR, XOR, and XNOR gates.Applied computational thinking methods for problem-solving, encompassing decomposition, pattern recognition, abstraction, algorithm development, and evaluation.Demonstrated practical application of programming logic concepts through real-world case studies.
  • Aug 31, 2024
    Artificial Intelligence for Junior Developer
    Digital Talent Scholarship
    Gained comprehensive understanding of Huawei Ascend AI system development and evolution.Mastered Full-stack all-Scenario AI Strategy concepts and implementations.Demonstrated proficiency in Traditional Machine Learning and Deep Learning algorithms.Designed and implemented Neural Networks using TensorFlow and MindSpore frameworks.Developed competencies in AI technology applications across various roles including sales, marketing, product management, project management, and technical support.
  • Jun 4, 2024
    Foundations of Business Intelligence
    Google
    Demonstrated understanding of common careers and industries utilizing Business Intelligence.Investigated the impact of data on business decision-making processes.Gained expertise in explaining the crucial role of BI professionals in business environments.Developed and implemented BI project plans through practical coursework.
  • Jun 2, 2024
    Introduction to Swift
    Great Learning
    Mastered Swift Programming Language fundamentals, including object-oriented programming concepts, data types, control flow, and iOS app development basics through hands-on projects and practical implementations.Developed strong foundation in Swift Programming Language, encompassing core syntax, functions, collections, and essential iOS development principles while creating functional applications.
  • Apr 24, 2024
    Blockchain Opportunity Analysis
    INSEAD
    Identified new opportunities and innovative applications for blockchain technology within targeted industry sectors.Developed strategic positioning for blockchain initiatives, focusing on creating enhanced customer value propositions.Analyzed critical business model components and feasibility assessments for blockchain implementation.Evaluated organizational transformation requirements and operational changes needed for successful blockchain integration.
  • Feb 3, 2024
    Learning Machine Learning for Beginners
    Dicoding
    Mastered classification concepts in supervised learning, including implementation of common algorithms such as KNN and Decision Trees.Applied clustering methods for unlabeled data analysis, utilizing K-Means algorithms and performance evaluation techniques.Implemented effective hyperparameter tuning strategies to optimize model accuracy and performance.Developed and deployed machine learning models using both supervised and unsupervised learning methods for real-world applications.
  • Feb 9, 2024
    Microsoft Azure AI Fundamentals
    Mereka
    Developed comprehensive understanding of Azure AI services, including cognitive services, machine learning capabilities, and natural language processing tools while implementing practical solutions on the Azure cloud platform.Mastered core Azure AI concepts and services, gaining hands-on experience in deploying AI solutions, working with computer vision, and implementing conversational AI using Azure's cognitive services.Applied Azure AI fundamentals through practical implementation of cloud-based machine learning solutions, including data processing, model training, and deployment of AI services in real-world scenarios.
  • Feb 3, 2024
    Microsoft Azure Data Fundamentals
    Mereka
    Gained practical expertise in Azure data services, including data storage solutions, database management, and data analytics tools while implementing real-world data processing scenarios.Mastered core Azure data concepts, including hands-on experience with relational and non-relational databases, data warehousing, and analytics solutions using Azure's comprehensive data platform.Developed strong foundation in Azure data management, encompassing data storage, processing, and analytics capabilities while implementing enterprise-level data solutions and best practices.
  • Feb 5, 2024
    Web3 and Blockchain Fundamentals
    INSEAD
    Demonstrated comprehensive understanding of key blockchain concepts including Web3, tokens, smart contracts, DAOs (Decentralized Autonomous Organizations), and blockchain trilemma.Analyzed and applied seven core design principles of blockchain-based systems while addressing key implementation challenges in real-world scenarios.Developed expertise in evaluating blockchain suitability for various business cases through systematic assessment frameworks.Examined and evaluated real-world blockchain implementations across different industries, studying successful business model integrations.
  • Nov 4, 2023
    Getting Started with Python Programming
    Dicoding
    Demonstrated proficiency in handling diverse data types using Python, encompassing fundamental concepts through advanced data operations.Mastered Object-Oriented Programming (OOP) principles in Python, including implementation of classes, methods, attributes, and inheritance concepts.Applied extensive knowledge of Python's popular libraries for text processing, mathematical computations, data manipulation, file management, web scraping, machine learning, and web development applications.
  • Oct 14, 2023
    Learning Data Visualization Basics
    Dicoding
    Mastered fundamental concepts of data visualization, including various visualization media, tools, and contextual data analysis for effective communication.Developed advanced proficiency in spreadsheet applications using Google Sheets, implementing complex functions and formulas for comprehensive data processing.Applied professional data visualization techniques, incorporating Gestalt principles, Preattentive Attributes, and design theory while creating effective data stories and avoiding common visualization pitfalls.