Mastering Deep Learning for Generative Al
Course Overview: Mastering Deep Learning for Generative AI
If you’ve ever wondered how AI learns to write, draw, or even talk like a human, deep learning is the magic behind it. This course takes you deep (pun intended!) into the world of neural networks and shows you how they’re used to create powerful generative AI systems. No need to be a math genius. We’ll break down the concepts into simple steps and build your knowledge layer by layer. By the end, you’ll be building and working with models that can generate original text, images, and more.
Curriculum by Industry Expert
Mentors are Tech leads
Skill Level Intermediate
Certification of Completion
Tools you master
What will you learn
Deep Learning Basics
- What deep learning is and how it powers modern AI.
- How neural networks “learn” from examples.
- Building your first deep learning model to recognize patterns.
Understanding Neural Networks
- Explore different layers: input, hidden, and output.
- Learn how AI improves with each training round.
- Visualize how information moves through a network.
Working with Text & Language
- Build models that can complete sentences or write stories.
- Learn about embeddings, attention, and how GPT-like models work.
- Create your own text-generation project (like a chatbot or quote generator).
Generating Images with Deep Learning
- Use models like Stable Diffusion to create unique images from text.
- Learn how AI “imagines” visuals based on your prompts.
- Practice using GANs (Generative Adversarial Networks) in simple projects.
Putting It All Together
- Combine text and image generation for creative projects.
- Explore AI in real-life scenarios design, education, content creation.
- Learn about responsible AI use, biases, and how to make ethical choices.
Working Like a Deep Learning Developer
- Use Google Colab and Jupyter to experiment without expensive hardware.
- Manage your code and experiments using VS Code and GitHub.
- Gain confidence in your ability to build, explain, and improve deep learning tools used in the real world.
Whom will you learn from ?
Sivaram is an AI Solution Architect with expertise in AI technologies like Generative AI, Computer Vision, and Machine Learning.
Vikas Patel, an IITian, is a Machine Learning Scientist at Nykaa with extensive experience in insurance, healthcare, finance, and e-commerce.
Sagnik Pal is a seasoned expert in leveraging AI and cutting-edge technologies to drive transformative business outcomes.
Senior Data Scientist at PwC, Data & Analytics and Engineering Specialist
As the Head of Technology at Blue Data, I help enterprises accelerate their data and AI transformation strategy.
As a Lead Data Scientist with 11 years of IT experience, I have conducted over 60 training sessions in Generative AI, ML/AI, and AWS.
Mohit is an AI/ML and Data enthusiast, and has been working with data, analysis, AI, and strategy & insights for 12+ years.
Project Associate in MathWorks GNSS Project | AI & Machine Learning | Data & Video Analytics | Generative AI & NLP for Business Solutions.
Co-Founder &CEO - CognisysAI Pvt. Ltd. || CTO - Incline Inventions Pvt. Ltd.
Senior Data Scientist with a wealth of experience in the fields of Computer Vision(CV), Natural Language Processing (NLP) & structured data analysis.
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Your Mastering Deep Learning for Generative Al
Certificate is Awaiting
Industry-recognized certification
This certificate recognizes your deep understanding of how today’s most advanced AI systems are created and trained. It reflects your practical knowledge of building neural networks, training models with real data, and working with tools like PyTorch, TensorFlow, and Hugging Face.
Effortless Sharing of Your Achievement
Once completed, your certificate is easy to share across platforms. You can showcase it on your LinkedIn profile, add it to your personal portfolio or GitHub, or include it in job applications to demonstrate your readiness for AI and machine learning roles.
Boost Your Professional Productivity
Throughout this course, you’ve developed the ability to design and train deep learning models, explore the inner workings of neural networks, and apply generative techniques such as transformers, GANs, and diffusion models.
FAQ's
A Micro Credentials course is an online training session where participants can join from anywhere via the internet. It provides interactive sessions, presentations, and discussions in a virtual environment.
After registering, you will receive an email with a link and instructions to access the Micro Credentials course. You’ll need a stable internet connection, a device (laptop or smartphone), and possibly a headset for the best experience.
Yes, participants who complete the Micro Credentials course and meet any specified criteria will receive a certificate of participation.
Absolutely! Our Micro Credentials courses are interactive, allowing participants to ask questions and participate in discussions through chat or video/audio during designated Q&A sessions.
If you miss the live session, a recording of the Micro Credentials course will be available for a limited time. You can access it through your account on our website.