TensorFlow for Beginners
By the end of this course, learners should be able to explain Lesson 1: Feature engineering practice
Embark on your learning journey with TensorFlow for Beginners. This course is designed to be accessible to beginners while providing enough depth to challenge experienced learners.
You'll gain hands-on experience through interactive coding exercises, quizzes, and real-world projects. Our community forum provides support whenever you need it.
Invest in your future today and join the next generation of African tech leaders.
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
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 TensorFlow for Beginners
- Quiz: Lesson 3: Work with pretrained models check (pass 70%)
- Final assessment: TensorFlow for Beginners — 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%
- TensorFlow for Beginners — 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 30min
- Lesson 3: Work with pretrained models Practice 44min
Week 2: Week 2: Core Concepts
- Lesson 1: Feature engineering practice 18min
- Lesson 2: Neural network intuition 18min
- Lesson 3: Work with pretrained models 16min
Week 3: Week 3: Practical Skills
- Lesson 1: Feature engineering practice 24min
- Lesson 2: Neural network intuition 32min
- Lesson 3: Work with pretrained models 25min
Week 4: Week 4: Language Mastery
- Lesson 1: Feature engineering practice 36min
- Lesson 2: Neural network intuition 27min
- Lesson 3: Work with pretrained models 42min
Free to enroll — no purchase required.
Instructor: Africoders
Start learning Already have an account? Sign in Course forum →