Complete Path
Artificial Intelligence Full Course (Foundation - Advanced)
Master AI from basics to advanced with a complete, practical
course covering Python, ML, Deep Learning, Gen AI, NLP, Pytorch
, Libraries, real projects & more.
🔥 100+ learners already enrolled
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Complete Path
Python for AI (Beginner to Advanced)
Master Python from basics to advanced NumPy, Pandas, OOP, and
ML-ready coding to start building AI projects confidently.
🔥 250+ learners already enrolled
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Generative AI
Generative AI Course
Master Prompt engineering, LLM APIs (OpenAI, Claude, Gemini,
etc.), fine‑tuning, embeddings, vector search, and content
generation systems. Become industry-ready with hands-on training
used in modern AI development teams
🔥 150+ learners already enrolled
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Agents
AI Agents Course
Build autonomous multi‑agent systems with memory, planning,
tool‑use, API orchestration and workflows. Go beyond
prompts—build autonomous multi-agent systems used in modern AI
startups. Learn how agents think, plan, use tools, call APIs,
and coordinate workflows
🔥 110+ learners already enrolled
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Hot Skill
RAG - Full Course
Master Retrieval‑Augmented Generation and build AI systems that
think, search, and answer with context accuracy. Companies are
hiring RAG engineers—this is the technology behind ChatGPT
search, enterprise AI, and AI assistants with real knowledge.
Build AI that retrieves, understands, and answers using your
data
🔥 75+ learners already enrolled
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Deployment
ML Ops & Deployment (Advanced)
Master production-grade ML systems—CI/CD for models,
containerised deployment, scalable orchestration, and robust
monitoring. Become the engineer teams rely on to ship and
maintain AI at enterprise scale. Automated testing &
reproducibility, A/B rollout, drift detection & observability
🔥 75+ learners already enrolled
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Deep Learning
Deep Learning Course for Everyone (Beginner–Advanced)
Learn deep learning from first principles with practical
projects—CNNs, RNNs, transfer learning, and optimisers—designed
for beginners moving to industry-ready intermediate skills.
Tensors, activations & gradient descent, CNNs for vision,
RNNs/LSTMs for sequences, transfer learning, regularisation and
model evaluation
🔥 100+ learners already enrolled
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Neural Network
Neural Networks (Beginner–Advanced)
Build neural networks from scratch to advanced
architectures—gain full mastery over activations, backprop,
optimisation, regularisation, and real-world AI models.
Perceptrons, activations & backpropagation Regularisation &
advanced optimisation, CNNs, RNNs, Transformers & practical
models.
🔥 150+ learners already enrolled
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