Master the Machine Muse: Build Generative Al with ML
Course Overview: Master the Machine Muse - Build Generative AI with ML
This course is all about helping you understand how machines can learn and more importantly how they can create. You’ll explore the world of Generative AI (like how ChatGPT or AI art tools work) by learning the basics of machine learning and then diving into how these systems are built and trained. No prior experience with machine learning? No problem. We’ll guide you through it step by step. By the end, you’ll be building and experimenting with your own creative AI models tools that can generate text, images, and even ideas.
Curriculum by Industry Expert
Mentors are Tech leads
Skill Level Intermediate
Certification of Completion
Tools you master
What will you learn
Understanding the Basics of Machine Learning
- What machine learning is and how it works (in plain English).
- The different types of ML: teaching with examples vs. patterns.
- Try building a simple model that can make predictions.
Getting Hands: On with AI Tools
- Use real tools (like scikit-learn) to train your first model.
- Learn to test and improve your models like a pro.
- Visualize how your AI makes decisions using simple graphs.
Intro to Generative AI
- See how tools like ChatGPT or Midjourney are trained.
- Explore how text and images are generated by AI.
- Learn how prompts guide what the AI creates.
Build Your First Generative Project
- Create an AI that can write poems, captions, or simple stories.
- Build a mini-image generator using pre-trained models.
- Experiment with combining models to do cool things like turning data into drawings.
Take It Further: Real-World Use Cases
- Learn how people use Generative AI in art, content, and even business.
- Discover how to make your AI smarter and more relevant.
- Understand the ethics and limitations so you can build responsibly.
Applying What You Know in the Real World
- Work with tools like Google Colab to run your models without needing a high-end device.
- Share your results with others using GitHub, portfolio sites, or presentations.
- Start thinking like an ML creator, not just a user ready to build, test, and innovate.
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.
Improve Your Personal / Professional Growth With Our GenAI Courses
Your Master the Machine Muse: Build Generative Al with ML
Certificate is Awaiting
Industry-recognized certification
This certification showcases your ability to understand, build, and apply machine learning techniques to create powerful generative AI tools. From the fundamentals of supervised learning to building models that write, draw, and generate new content, this certificate proves your readiness to contribute to real-world AI environments.
Effortless Sharing of Your Achievement
Your certification is ready to share across all professional platforms. You can add it to your LinkedIn profile, feature it in your portfolio, or present it in interviews and networking opportunities. It offers proof of hands-on experience and signals that you have the practical know-how to take on AI-driven roles in startups, agencies, or enterprise environments.
Boost Your Professional Productivity
Through this course, you’ve gained practical experience training machine learning models and integrating them with generative capabilities like text, image, or sound creation. You’ve used tools like Scikit-learn, OpenAI, and Hugging Face to build AI applications that respond, create, and evolve.
FAQ's
We offer beginner to advanced courses in Artificial Intelligence, covering topics like Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and AI ethics.
Most courses use popular tools like Python, Jupyter Notebook, TensorFlow, and other open-source libraries. We provide setup guides to help you get started easily.
Most of our courses are self-paced, allowing you to learn on your own schedule. However, we also offer instructor-led cohorts and live sessions for select programs.
Yes, upon successful completion of any course or specialization, you’ll receive a digital certificate that you can share on LinkedIn or include in your resume.
You can reach our support team anytime through chat or email. We also have community forums where instructors and peers can help you troubleshoot and learn collaboratively.