Tiếng Anh B1, B2
Học linh hoạt - Thi đạt chuẩn
Điều kiện bổ túc hồ sơ
Điều kiện chuẩn đầu vào/ ra trường
Khai giảng liên tục
CHẤT LƯỢNG
Kết thúc khóa học, học viên được hỗ trợ đăng ký thi, sắp xếp đi lại đến trường thi thuận tiện nhất.
Ưu điểm khóa học
Nội dung ôn tập
- Bám sát cấu trúc đề thi, cung cấp kiến thức toàn diện về các kỹ năng Nghe, Nói, Đọc, Viết.
- Kèm giáo trình ôn tập chi tiết, bộ đề thi thử cập nhật, tài liệu tham khảo hữu ích.
Giảng viên kinh nghiệm
- Thầy Tính Danh với nhiều năm kinh nghiệm giảng dạy sẽ chia sẻ bí quyết và chiến thuật làm bài hiệu quả.
- Nhiệt tình hỗ trợ thực hiện các thủ tục từ đăng ký dự thi, nhận giấy chứng nhận và đưa đón đi thi.
Học tập linh hoạt
- Học theo E-Learning kết hợp hướng dẫn live qua Google Meet, linh hoạt thời gian, không cần di chuyển.
- Lớp học sĩ số nhỏ, tương tác tốt giữa giáo viên và học viên, giải đáp thắc mắc trực tiếp và kịp thời.
Chương trình khóa học
Thời lượng
2-4 tuần
Thời gian học
Thứ 2 & Thứ 4: 19:00 - 20:30
Học qua
Video, Bài tập, Giảng trực tiếp
Hình thức học
Online qua Google meet
01
Introduction to AI and Machine Learning
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
02
Tổng quan khóa học & Ôn kiến thức cơ bản
Tuần 1 | 7:00 - 8:30 Thứ 2, Thứ 4
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
03
Hướng dẫn ôn tập phần SPEAKING
Tuần 2 | 7:00 - 8:30 Thứ 2, Thứ 4
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
04
The AI-first company
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
05
Ethics of AI and data
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
06
Driving organizational transformation
1 week | 7pm - 9pm Thu, Sun
Uncover the intricacies of AI, machine learning (ML), and deep learning, tracing their historical development and evolution. Navigate the expansive landscape of machine learning, distinguishing between the pivotal categories of Supervised, Unsupervised, and Reinforcement Learning.
By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.
— Eliezer Yudkowsky —
This course is for you
No prior AI or technical knowledge required. Ideal for individuals who want to add AI skills to their resume and stay ahead of the curve in their field.
The course will delve deeper into the concepts, offering a more challenging and rewarding learning experience. The course will provide practical skills and resources to experiment with AI tools and applications.
Focus on how AI can be applied to improve business processes, marketing, and decision-making. How AI can transform your organization and gain a competitive edge in the future.
A great starting point to explore different AI specializations and gain a solid foundation, looking to harness the power of AI for your projects.
Listen to real people, real results
Hello, I’m Tinh Danh
My Story
My story is one fueled by a deep passion for unraveling the mysteries of AI, leading me to contribute to groundbreaking research and advancements in the industry.
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Beyond the classroom, I am a thought leader, continually pushing the boundaries of AI research. My dedication to ethical AI development and a forward-thinking approach sets the stage for you not only to understand the technology but also to contribute to its responsible and innovative growth.
My Experience
- 1998 Machine Learning Researcher at XYZ Lab
- 2005 Founder Data Science Company
- 2015 Teaching at AI Center
- 2020 PhD on neural networks
- Now Senior Director at ModernAI
Brands I worked with
Our excellent mentors
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Mentor Thomas Winsley
Director at AI Company, Founder of AI Community
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Mentor Kate Green
Director at AI Company, Founder of AI Community
Throughout my career, I've been at the forefront of shaping the future of technology, blending theoretical knowledge with practical insights. I am committed to making AI and machine learning accessible to learners at all levels, demystifying complex concepts in an engaging and collaborative learning environment.
Mentor Thomas Winsley
Director at AI Company, Founder of AI Community
Khai giảng
Bắt đầu
03/03/2025
Học phí
3.800.000đ
Ưu đãi học theo nhóm
200K/mỗi học viên/ Nhóm 5 người trở lên
Bước 1
Điền mẫu đăng ký
Lỗi: Không tìm thấy biểu mẫu liên hệ.
Bước 2
Thanh toán
Pay via bank
- Account number: 12348765
- Account name: Jose Callion
- Bank name: HSBC Bank Canada
- Bank address: 789 EML Street Vancouver
- SWIFT: BKKBVNVXHAN
- Email: josecallion@gmail.com
Bước 3
Kiểm tra mail và xác nhận đăng ký!
We will send you an enrollment confirmation and an invitation to our Eduma Community.
Join this community and dive into the various discussions, threads, and activities happening in the community.
Join this community and dive into the various discussions, threads, and activities happening in the community.
Looking for our upcoming courses? Join the waitlist to be notified when dates for future course become available
Find the answers to your questions here
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Bản quyền @ 2025 thuộc về Ngoại ngữ - Tin học Tính Vy