Beginner

Foundations for Generative AI

Build a strong foundation in Python, Data Handling, Machine Learning, Deep Learning, Transformers, Generative AI, and AI APIs. Develop the essential skills required to begin your AI and LLM journey.

Instructor-Led
1 session
30 hours
10 modules
Recommended Course Audience

Recommended Course Audience

Students Data Analysts Software Developers Python Developers Fresh Graduates IT Professionals Business Analysts AI and Machine Learning Beginners Educators and Trainers Working Professionals
Pre-Required Skills

Pre-Required Skills

  • Pre-Required Skills Ckeck
    Basic computer knowledge
  • Pre-Required Skills Ckeck
    No AI experience required
  • Pre-Required Skills Ckeck
    Interest in programming and Artificial Intelligence beneficial
Course Highlights

Course Highlights

10 modules
Master Python, data handling, machine learning, deep learning, transformers, and Generative AI fundamentals. Learn how modern AI systems process data, make predictions, and generate content. By course completion, learners will possess the technical foundation required to confidently progress into Generative AI application development and LLM technologies.
Learn how to set up Python, Jupyter Notebook, VS Code, Git, and AI development environments. Understand essential tools, package management, and workflows required for modern AI and machine learning projects.
Master Python programming concepts including variables, data types, operators, loops, functions, modules, and object-oriented programming. Build a strong coding foundation required for AI, data science, and automation.
Learn how to collect, clean, transform, analyze, and visualize data using NumPy and Pandas. Develop practical skills for working with structured datasets and preparing data for AI applications.
Explore supervised and unsupervised learning techniques, model training, evaluation, and prediction. Learn how machines identify patterns in data and make intelligent decisions using machine learning algorithms.
Understand neural networks, activation functions, backpropagation, optimization techniques, and deep learning architectures. Learn how modern AI systems process complex data such as images, text, and speech
Natural Language Processing (NLP) is a branch of Artificial Intelligence that enables computers to understand, interpret, process, and generate human language, powering chatbots, translators, voice assistants, and modern AI applications.
Learn the fundamentals of transformer architectures, attention mechanisms, tokenization, embeddings, and large language models. Understand how modern AI systems like ChatGPT generate and process human language.
Explore Generative AI concepts, capabilities, and applications across industries. Understand how AI creates text, images, audio, and code, and how generative models are transforming businesses worldwide.
Learn how AI applications interact with models through APIs. Explore the modern AI ecosystem, including cloud AI services, open-source models, developer tools, and AI-powered application development workflows.
Course Instructor

Course Instructor

Adhvaith Reddy
Adhvaith Reddy
Manager of Research & Developement , Solix Technologies
Foundations for Generative AI
Free
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Level : Beginner
Schedule : Jul 20 – Aug 14, 2026
Time : 4:00 PM – 5:30 PM Asia/Kolkata
Sessions : 1 session
Modules : 10
Duration : 30 hours