PyTorch Deep Learning
By the end of this course, learners should be able to explain Lesson 1: Feature engineering practice
This comprehensive course will take you from beginner to confident practitioner in PyTorch Deep Learning. You'll learn industry-standard techniques and best practices used by professionals worldwide.
Through hands-on projects and real-world examples, you'll gain the skills needed to succeed in today's competitive tech landscape. Our curriculum is designed by industry experts with years of experience.
By the end of this course, you'll have a portfolio of projects to showcase your abilities and the confidence to apply your knowledge in professional settings.
What you will learn
- By the end of this course, learners should be able to explain Lesson 1: Feature engineering practice
- By the end of this course, learners should be able to explain Lesson 2: Neural network intuition
- By the end of this course, learners should be able to explain Lesson 3: Work with pretrained models
- By the end of this course, learners should be able to explain Lesson 1: Feature engineering practice
- By the end of this course, learners should be able to explain Lesson 2: Neural network intuition
Skills you will develop
AI literacy · LLM concepts
Skills you’ll develop
Course completion demonstrates these skills. Verification requires assessment or reviewed challenge work.
What you will build and prove
- Practice: Practice: Lesson 3: Work with pretrained models
- Project: Apply PyTorch Deep Learning
- Quiz: Lesson 3: Work with pretrained models check (pass 70%)
- Final assessment: PyTorch Deep Learning — course assessment (pass 70%)
Course journey
How this free course is structured — watch, practise, and progress module by module.
- Week 1: Language Fundamentals
- Week 2: Core Concepts
- Week 3: Practical Skills
- Week 4: Language Mastery
Practice
1 optional practice exercise — apply what you learned. Practice is not required to complete the course.
Assessment
- Lesson 3: Work with pretrained models check · pass mark 70%
- PyTorch Deep Learning — course assessment · pass mark 70%
Prove
Course completion means finishing required lessons , and the course assessment . That grants a certificate of completion — not a professional certification. Optional practice does not block completion.
Curriculum
Week 1: Week 1: Language Fundamentals
- Lesson 1: Feature engineering practice Preview 24min
- Lesson 2: Neural network intuition Preview 28min
- Lesson 3: Work with pretrained models Practice 44min
Week 2: Week 2: Core Concepts
- Lesson 1: Feature engineering practice 16min
- Lesson 2: Neural network intuition 31min
- Lesson 3: Work with pretrained models 39min
Week 3: Week 3: Practical Skills
- Lesson 1: Feature engineering practice 37min
- Lesson 2: Neural network intuition 41min
- Lesson 3: Work with pretrained models 19min
Week 4: Week 4: Language Mastery
- Lesson 1: Feature engineering practice 37min
- Lesson 2: Neural network intuition 35min
- Lesson 3: Work with pretrained models 31min
Free to enroll — no purchase required.
Instructor: Africoders
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