Training Artificial Intelligence

Deskripsi Training

Training Artificial Intelligence. Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.
As you make your way through the course, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore’s law.
By the end of this course, you will be confident when it comes to building your own AI applications with your newly acquired skills

Tujuan Pelatihan

• Understand the importance, principles, and fields of AI
• Implement basic Artificial Intelligence concepts with Python
• Apply regression and classification concepts to real-world problems
• Perform predictive analysis using decision trees and random forests
• Carry out clustering using the k-means and mean shift algorithms
• Understand the fundamentals of deep learning via practical examples

Outline Training Artificial Intelligence

• Lesson 1: Principles of Artificial Intelligence
  • Fields and Applications of Artifcial Intelligence
  • AI Tools and Learning Models
  • The Role of Python in Artifcial Intelligence
  • Python for Game AI
• Lesson 2: AI with Search Techniques and Games
  • Heuristics
  • Pathfnding with the A* Algorithm
  • Game AI with the Minmax Algorithm and Alpha-Beta Pruning
• Lesson 3: Regression
  • Linear Regression with One Variable
  • Linear Regression with Multiple Variables
  • Polynomial and Support Vector Regression
• Lesson 4: Classification
  • The Fundamentals of Classifcation
  • Classifcation with Support Vector Machines
• Lesson 5: Using Trees for Predictive Analysis
  • Introduction to Decision Trees
  • Random Forest Classifer
• Lesson 6: Clustering
  • Introduction to Clustering
  • The k-means Algorithm
  • Mean Shift Algorithm
• Lesson 7: Deep Learning with Neural Networks
  • TensorFlow for Python
  • Introduction to Neural Networks
  • Deep Learning

Jadwal Pelatihan 2025

Lokasi dan Investasi

Pelaksanaan pelatihan oleh SITI Training dapat dilakukan secara fleksibel, baik offline maupun online, sesuai dengan kebutuhan dan preferensi peserta. Untuk pelatihan offline, kami menyediakan lokasi di berbagai kota besar di Indonesia:

Jakarta

5.500.000 IDR / peserta *

Yogyakarta

5.500.000 IDR / peserta *

Bali

5.500.000 IDR / peserta *

Bandung

5.500.000 IDR / peserta *

* Syarat dan ketentuan berlaku:
Investasi untuk pelatihan disesuaikan dengan jumlah peserta.
Silakan hubungi tim marketing kami untuk info lebih lanjut.

Training Online dan In-House

Bagi peserta yang lebih memilih pelatihan secara online, kami memfasilitasinya melalui aplikasi Zoom, memastikan pengalaman belajar yang interaktif dan efektif. Selain itu, kami juga melayani in-house training, di mana pelatihan dapat diselenggarakan langsung di lokasi perusahaan Anda, memberikan kenyamanan dan kemudahan bagi karyawan untuk meningkatkan keterampilan dan kompetensi mereka tanpa harus meninggalkan tempat kerja.

Catatan : Apabila perusahaan membutuhkan paket in-house training, anggaran investasi pelatihan dapat menyesuaikan dengan anggaran perusahaan.

Fasilitas Training

Sebagai peserta training, Anda akan menikmati fasilitas berikut.

Galeri Dokumentasi Kegiatan Training