Artificial Intelligence Course
Python, machine learning, neural networks, computer vision, NLP and deployment — a complete route into AI engineering, not a tour of buzzwords.
- 6 months
- Beginner to job ready
techcadd Ludhiana
Models, analytics and decision intelligence — taught at the techcadd centre at Bharat Nagar Chowk, Ludhiana, in classroom and online batches.
The courses
Python, machine learning, neural networks, computer vision, NLP and deployment — a complete route into AI engineering, not a tour of buzzwords.
Supervised and unsupervised learning, feature engineering, evaluation and deployment — with the statistical discipline that separates a real model from an overfitted one.
CNNs, RNNs, transformers and generative models in PyTorch — with the training craft that turns an architecture diagram into a model that actually converges.
Python, SQL, statistics, machine learning and storytelling — the complete route from a raw export to a recommendation a business will act on.
The analyst toolkit taught in the order employers use it — advanced Excel, SQL, dashboards, and enough Python to automate the repetitive half of the job.
Power Query, star schemas, DAX and publishing — the full Power BI workflow as a working BI developer uses it, not a click-through of the interface.
Tableau Desktop from first connection to published dashboard — calculations, LOD expressions, parameters and the visual judgement that makes a chart persuasive.
Prompting, embeddings, RAG, fine-tuning and agents — how to turn a language model into an application that behaves predictably enough to charge money for.
The engineering discipline behind AI output — system design, structured responses, evaluation and the testing habits that make prompts dependable at scale.
A practical tour of the AI tools that actually save time — writing, research, design, spreadsheets, meetings and automation — with the judgement to know when not to use them.
Tool use, planning loops, memory, multi-agent orchestration and the guardrails that make an autonomous system safe enough to run against real data.
Content production, audience research, ad creative, personalisation and analytics — the full marketing cycle rebuilt around AI tooling, with measurement to prove it worked.
Chunking, embeddings, vector search, reranking and evaluation — the architecture behind every AI assistant that answers from a company's own documents.
Ready to get started?
Talk to a counsellor today. One call is usually enough to know which track fits your degree, your schedule and the job you want.
Call now+91 98881 22667