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Bootcamp AI Engineer

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110 Video   
1 Kuis   
33 Files   

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Deskripsi

Bootcamp AI Engineer Indonesia – Belajar AI dari Nol sampai Bisa Bikin Aplikasi AI

Belajar Artificial Intelligence dari nol tanpa background IT. Bangun model Machine Learning, pahami dasar Deep Learning, dan deploy aplikasi AI ke web bareng mentor industri. 

Benefit:   

  • Sertifikat 
  • Video materi (akses selamanya) 
  • Modul 
  • Zoom dan record zoom 
  • Channel lowongan kerja 
  • Diajarkan dari awal 
  • Grup diskusi  
  • Opportunity Career

    SETELAH PAYMENT, JANGAN KELEWATAN ADA LINK UNTUK MASUK GRUP WHATSAPP  

Konten

Pre Test

Pre-Bootcamp Readiness Test –AI Engineer

Pra - Introduction to AI Engineer

What's the Big Data
Introduction Big Data
Materi Data Mining
Introduction Data Mining
Create Produk with Data Part 1
Design Product with Data
Create Produk with Data Part 2
Testing Lean Startup DNVB

Pra - Introduction Python

Introduction to Python Part 1
Python Introduction
Introduction to Python Part 1
Introduction to Python Part 2
Python Package and Operation
Introduction to Python Part 2
Introduction to Python Part 3
Introduction and Manipulation of List
Introduction to Python Part 3
Introduction to Python Part 4
Introduction of Set and Operation
Create and Modification of List
Introduction to Python Part 5
Introduction of Dictionary and Operation
Create and Modification of List
Introduction to Python Part 6
Introduction Numpy
Create a Dictionary
Numpy Part 1
Numpy Part 2
Numpy Part 3
Calculations on Numpy Part 1
Calculations on Numpy Part 2
Conditional Operations on Numpy Array
Reverse Array
Create Matrix

Pra - Python Fundamental

Conditional Statement Part 1
If Else Conditional Statement
Conditional Statement Part 2
Nested and conditional Statement in data frame
Looping and Iteration Part 1
Introduction & List of Iteration
Looping and Iteration Part 2
Iteration in Dictionary & Data Frame
Function Python Part 1
Introduction Function & Parameter
Function Python Part 2
Return Value & Data Processing with Function
Conditional Statement Part 1
Conditional Statement Part 2
Conditional Statement in Data Frame
Iteration Part 1
Iteration Part 2
Function Part 1
Function Part 2
Calculate Numpy Dataframe
Float
Function For
Function Def
Definate Iteration Part 1
Definate Iteration Part 2
Definate Iteration Part 3

Pra - Machine Learning Preparation

Concept Data Cleaning
Reason Why Processing Data
Data Shape Transformation
Noisy Data
Redundant Data
Data Preprocessing Part 1
Data Preprocessing and Missing Data
Data Preprocessing Part 2
Duplicated, Outlier, and Normalization Data
Data Preprocessing Part 3
Feature Encoding
Imbalance Data
Exploratory Data Analysis Part 1
Introduction EDA and Descriptive Statistics
Exploratory Data Analysis Part 2
Univariate, Multivariate Analysis and Tips EDA
Introduction to Machine Learning Part 1
Introduction and Topology Machine Learning
Introduction to Machine Learning Part 2
Supervised Learning and Modification Feature
Dimentional Curse
EDA Part 1
EDA Part 2
EDA Part 3
Excited Data Preparation
Handle Outlier
Real Case: Car Price Dataset Part 1
Real Case: Car Price Dataset Part 2
Real Case: Car Price Dataset Part 3

Pra - Supervised Learning

Classification Part 1
Introduction Classification and RegLog
Logistic Regression
Real Case Classification Part 1
Classification Part 2
K Nearest Neighbor
K-Nearest Neighbor
Real Case Classification Part 2
Classification Part 3
Decission Tree
Decision Tree
Ensemble Methods Part 1
Ensemble Methods and Boosting
Ensemble Methods Part 2
Bagging and Stacking
Ensemble Method
Model Evaluation Part 1
Introduction Model Evaluation
Model Evaluation Part 2
Bias Variance and Validation Model
Regression Part 1
Introduction Supervised Learning and Regression
Regression Part 1
Real Case Regression
Regression Part 2
Linear Regression and Regularization
Regression Part 2
Regression Part 3
Advance Regression
Lazy Classifier
Lazy Regressor
TPOT AutoML

Pra - Deep Learning

Introduction Intermediate Machine Learning
Feed-forward propagation
Backpropagation
Underfitting & Overfitting
Basic deep Learning Python
Batch Size
Activation Function
Feedforward-backforward propagation
Machine Learning underfitting & overfitting
Loss Function & Early Stop
Deep Learning - Heart Disease

Pra - NLP for AI Engineer

NLP_01: Basic NLP
NLP_02: Analisis Sentimen
NLP_03: Product Similarity
NLP_04: Text Summarization
NLP_05: Regular Expression

Pra - Image Processing

CNN Model
Evaluasi
Flask 1
Flask 2
Flask 3
Record Materi penjelasan + PPT (Image Processing With TensorFlow)

Welcome to the AI World

Python for AI – Logic, Simplicity, and Power

Data Handling & Preprocessing for AI

Machine Learning Lite – Make Your AI Learn

Deep Learning Lite – Building the Brain of AI

AI Deployment 101 – Bring Your AI to the Real World

MLOps Fundamentals – The Workflow of Real AI Engineers

AI Pipeline & System Integration – Automate the Flow

Responsible AI & Bias Awareness – Building Ethical Intelligence

Final Showcase – Building & Presenting Your End-to-End AI Project

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