AITeky Learn

Machine learning and data science

Deep Learning Engineer

Also called: Neural Network Engineer, AI Model Engineer

Designs, trains and optimises neural networks for images, text, audio and sequences.

Skill Packs
14
Class hours
252 (of 353, foundation optional)
At 6 hours a week
about 11 months
Free certifications
17
Library resources
94
Interview questions
170

βœ“ All 155 lessons expert reviewed

Your route. Skip the foundation if you already use AI tools at work. Take the Leading with AI packs on the problems of your own organisation, and finish with the capstone AI plan that a mentor reviews with you.

Industry 5.0 Β· this path teaches 1 of 3 pillars

🀝 Human-centred + 🌱 Sustainable: add I50-SUS+ πŸ›‘οΈ Resilient: add I50-RES

1. Foundation

4 packs Β· 101 hours

The base every pack after it builds on. Skip a pack here if you already do this at work.

  1. 1

    Python programming FND-01 Beginner

    37 hours 15 lessons πŸŽ“ 4 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 18 interview questions

  2. 2

    Developer toolkit: command line, Git and AI coding assistants FND-02 Beginner

    16 hours 8 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 11 interview questions

  3. 3

    Data wrangling with NumPy and pandas DAT-02 Beginner

    27 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 11 interview questions

  4. 4

    Mathematics for machine learning MTH-01 Beginner

    21 hours 10 lessons πŸ“š 8 library resources βœ“ Expert reviewed ❓ 11 interview questions

2. Core skills

3 packs Β· 85 hours

The skills the job is made of.

  1. 5

    Machine learning ML-01 Beginner

    32 hours 14 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 15 interview questions

  2. 6

    Deep learning DL-01 Advanced

    29 hours 12 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 12 interview questions

  3. 7

    Feature engineering, tuning and responsible machine learning ML-02 Advanced

    24 hours 10 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 11 interview questions

3. Specialise

5 packs Β· 117 hours

The depth that sets you apart in interviews.

  1. 8

    Computer vision CV-01 Advanced

    24 hours 10 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 10 interview questions

  2. 9

    Natural language processing NLP-01 Advanced

    24 hours 10 lessons πŸ“š 8 library resources βœ“ Expert reviewed ❓ 10 interview questions

  3. 10

    Time series and forecasting TS-01 Advanced

    21 hours 9 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 10 interview questions

  4. 11

    Containers, CI/CD and cloud foundations OPS-01 Beginner

    24 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 10 interview questions

  5. 12

    MLOps: deploying and running machine learning models OPS-02 Advanced

    24 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 6 library resources βœ“ Expert reviewed ❓ 9 interview questions

4. Prove it

2 packs Β· 50 hours

A capstone project, then portfolio, resume and interview practice.

  1. 13

    Capstone project CAP-01 Advanced

    24 hours 9 lessons βœ“ Expert reviewed ❓ 8 interview questions

  2. 14

    Career readiness: portfolio, resume and interviews CAR-01 Beginner

    26 hours 15 lessons πŸŽ“ 1 free certification βœ“ Expert reviewed ❓ 24 interview questions

Add your edge

Optional packs that make you the candidate for a particular sector or degree.

Your industry Β· Pick the sector you want to work in.

See every your industry pack

Sign up free to see the free certifications and interview preparation for this role

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