Deep Learning Fundamentals
By the end of this course, learners should be able to explain Lesson 1: Feature engineering practice
Unlock your potential with this carefully crafted course on Deep Learning Fundamentals. We've distilled years of industry experience into actionable lessons that you can apply immediately.
This course covers both theoretical foundations and practical applications. Each module builds on the previous one, ensuring a smooth learning journey.
Perfect for self-learners and professionals seeking to expand their skillset in the growing African tech ecosystem.
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 Deep Learning Fundamentals
- Quiz: Lesson 3: Work with pretrained models check (pass 70%)
- Final assessment: Deep Learning Fundamentals — 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%
- Deep Learning Fundamentals — 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 15min
- Lesson 2: Neural network intuition Preview 15min
- 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 17min
- Lesson 3: Work with pretrained models 45min
Week 3: Week 3: Practical Skills
- Lesson 1: Feature engineering practice 21min
- Lesson 2: Neural network intuition 21min
- Lesson 3: Work with pretrained models 31min
Week 4: Week 4: Language Mastery
- Lesson 1: Feature engineering practice 38min
- Lesson 2: Neural network intuition 19min
- Lesson 3: Work with pretrained models 25min
Free to enroll — no purchase required.
Instructor: Africoders
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