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APPLIED AI AND DEEP LEARNING IN ACTION COURSE

Gain the practical skills and confidence to bring applied AI into your role or career path with our Applied AI and Deep Learning in Action Course. Master PyTorch, transformers, and deployment practices while building labs and a capstone project that demonstrate real AI engineering capability.

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Learn in-demand skills to thrive in the AI era. Tell us a little about you and we’ll get in touch with more info.

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OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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PURCHASING MADE EASY

The total cost of this course is $2,950.

Discounts available when you pay in full.

Divide tuition into two, three, or four easy payments while in school.

As low as $712.50.

Apply for a 0% interest loan from Climb Credit

Pay zero interest on manageable payments over 9 months with the 0% Interest Loan.

Loan approval subject to eligibility.

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Begin repaying immediately, or choose an interest-only option.

Get an interest rate from 6.5–15%, with a Climb loan term from 2–5 years or an interest rate ranging 6.99 – 17.99% APR.

Loan approval subject to eligibility. Loan terms displayed are effective as of 1/1/2026.

LEARN MORE ABOUT FINANCING & TUITION

Check out all the ways we help make careers in tech accessible to all.

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Complete your course, get your badge, and add it to your LinkedIn profile to showcase your new skills to your network.
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Who’s this for?

This course is for professionals with solid Python programming skills who want:

  • To specialize in AI/ML through intensive, hands-on technical training (not an introductory overview)
  • Learning with structured instruction, labs, and real-time expert guidance
  • A portfolio of projects that demonstrate production-ready AI capabilities.
  • The skills to target AI engineer, ML engineer, and AI solutions architect roles
  • To work with modern tools (PyTorch, transformers) used in actual AI engineering positions

TECHNICAL SETUP

 

  • Laptop with administrator access
  • 13"+ screen, 8GB RAM, and 40GB free storage
  • Stable internet with dual-monitor setup and webcam for online sessions
  • Full technical setup guide and support provided after enrollment

RECOMMENDED EXPERIENCE

  • Prior experience using Python and basic programming concepts 
  • Self-taught coding skills, data analysis exposure, or related coursework
  • Comfortable writing simple scripts and eager to deepen AI skills
  • Ready to advance into deep learning applications
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BRING YOUR OWN AI 

This course works with any major AI platform. Use your existing account or free tiers from: OpenAI ChatGPT, Google Gemini, Anthropic Claude, Microsoft Copilot, or Perplexity. No premium subscriptions required—learn with the tools you already have.

Course Agenda

  • Master Python, Git, and core ML workflows for AI development
  • Build baseline models using logistic regression and gradient descent
  • Establish the foundation for deep learning architectures
  • Implement neural networks from scratch using PyTorch and Hugging Face
  • Experiment with CNNs, RNNs, transfer learning, and advanced optimization techniques
  • Build production-ready models with proper training, regularization, and performance tuning
  • Apply transformer architectures for text analysis, summarization, and translation
  • Work with embeddings, pipelines, and modern NLP frameworks
  • Evaluate and benchmark language models for accuracy, speed, and bias
  • Deploy AI solutions responsibly with ethics, security, and fairness considerations
  • Build end-to-end systems using LangChain and vector databases for Q&A applications
  • Complete your capstone project demonstrating production-ready AI engineering capabilities

WHAT MAKES THIS PROGRAM DIFFERENT 

✓ Intensive, live cohort learning: Learn with a structured group of professionals who share your goals. Get real-time answers from expert instructors during live sessions.

✓ Production-ready tool stack: Learn the tools that AI engineers actually use in production, like PyTorch, Hugging Face, and LangChain. Every tool you learn is actively used in real AI engineering roles today.

✓ Build complete AI systems: Go beyond isolated Jupyter notebooks and create end-to-end solutions including data pipelines, model deployment, and responsible AI considerations.

✓ Workplace-relevant application: Master the architectures powering today's AI breakthroughs and learn to build AI systems that are not only powerful, but responsible.

AI IS CHANGING WORK—WE HELP YOU STAY AHEAD 

  • 26%

    AI engineer projected job growth from 2023–2033

    (Source: U.S. Bureau of Labor Statistics)

  • 56%

    wage premium for AI-skilled workers

    (Source: PwC Global AI Jobs Barometer, 2025)

  • 94%

    of firms expect AI and information processing tech to transform their operations in the next 5 years

    (Source: World Economic Forum)

KEY TAKEAWAYS  

You'll leave this course with these AI skills under your belt:

BUILD PRODUCTION-READY NEURAL NETWORKS

You'll master PyTorch, Hugging Face, and torchvision to implement everything from simple feedforward networks to advanced CNNs and RNNs, using transfer learning and optimization techniques that deliver real-world performance at scale.

DEPLOY MODERN NLP AND TRANSFORMER SYSTEMS

You'll work with state-of-the-art transformer architectures to build sentiment analysis, summarization, and translation applications, while learning to evaluate models for accuracy, cost, and bias in production environments.

ENGINEER COMPLETE AI SOLUTIONS

You'll design and deploy end-to-end AI systems using LangChain and vector databases, applying responsible AI practices that balance technical performance with ethical considerations, security, and fairness—culminating in a portfolio-ready capstone project.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from AI-fluent pros who bring hands-on experience straight from the field to the classroom. Every GA instructor is committed to giving the personalized feedback and support you need to crush your goals every step of the way.
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GET MORE INFO

Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.

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Need to speak with someone directly?
Our admissions team is here to help.

North America
+1 844 969 4669
UK
+44 20 3991 6088
Singapore
+65 6018 7933
Australia
+61 1800 845 068

QUESTIONS? WE'VE GOT ANSWERS.

AI is reshaping every role and every industry, and learning AI skills to enhance your role is no longer optional. Applied AI and Deep Learning in Action is an intensive 32-hour online course that transforms professionals with Python experience into skilled AI practitioners. Students master the complete deep learning stack—from neural network fundamentals through advanced architectures like CNNs, RNNs, and transformers—using industry-standard tools including PyTorch, Hugging Face, and LangChain. Through hands-on projects in computer vision and NLP, learners build portfolio-ready AI solutions while developing the responsible deployment practices demanded by today's AI engineering roles.
Yes. When you pass this course, you’ll receive a LinkedIn-verified digital badge. Thousands of GA alumni around the world use their course badge to demonstrate their skills to their LinkedIn networks, potential employers, and more. Our courses are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

Our Applied AI and Deep Learning in Action Course is designed for professionals with prior Python experience and basic programming knowledge. Student backgrounds include:

Technical career advancers, like:

  • Software developers and engineers seeking AI specialization
  • Data analysts/scientists wanting to add deep learning capabilities
  • Technical professionals in adjacent fields (DevOps, systems engineering)

AI/ML practitioners, like:

  • Professionals with basic ML knowledge seeking production-ready skills
  • Engineers working with AI who need formal deep learning training
  • Technical team leads implementing AI initiatives

Technical career changers, like:

  • Professionals with strong Python/programming backgrounds pivoting to AI
  • Engineers from traditional software roles targeting AI engineering positions

We recommend prior Python experience and basic programming knowledge for this applied AI and deep learning course.

Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.

Applied AI and Deep Learning in Action is the intensive, hands-on course that takes Python developers from AI-curious to AI-capable. You’ll get to build production-ready deep learning solutions with the exact tools (PyTorch, Hugging Face, LangChain) and architectures (CNNs, transformers, RAG systems) that top AI companies demand—backed by portfolio projects that demonstrate real engineering capability.

Key learning outcomes include:

  • Building and optimizing neural networks using PyTorch and deep learning frameworks
  •  Implementing advanced architectures (CNNs, RNNs, transformers) for real-world applications
  • Applying NLP techniques and transformer models for text analysis, summarization, and translation
  • Deploying AI solutions responsibly with consideration for ethics, security, and bias
  • Developing end-to-end AI systems using LangChain and vector databases for QA
Yes. All of our courses are designed for busy professionals with full-time work commitments. There’s no prework or homework, and the workload is designed to be manageable with a full-time job. If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:

*Course modality options vary by location, pending market availability. Please contact our Admissions team to discuss what version is available in your location.

Education does not guarantee outcomes, including, but not limited to, employment or future earnings potential.
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