AI IGNITE / YOUR 12-WEEK ROADMAP
AI IgniteApplied AI engineering program
Take your ideas from Python and machine learning to useful AI applications, retrieval systems and an integrated final project.
A practical learning journey. A portfolio you can explain with confidence.
Build your foundation.
Python, data analysis, machine learning, neural networks and computer vision.
Explore intelligent systems.
NLP, transformers, generative AI, embeddings and semantic document search.
Create something real.
RAG, AI agents, full-stack integration and a deployed capstone project.
THE LEARNING JOURNEY
From foundations.
To putting it into practice.
Explore the topics, guided practice and projects in your curriculum.
01Month 1 · Python, machine learning and deep learning
- Week 1: Python variables, functions, OOP, exceptions, NumPy, Pandas, Matplotlib and exploratory data analysis.
- Week 2: Supervised/unsupervised learning, train/test splits, regression, classification and model evaluation.
- Week 3: Neural networks, forward/backpropagation, loss, optimisation and TensorFlow/Keras.
- Week 4: CNNs, filters/pooling, image preprocessing, classification and transfer learning.
Build data analysis, prediction, neural classification and computer-vision exercises.
02Month 2 · NLP, generative AI and semantic search
- Week 5: Text cleaning, tokenisation, stop words, lemmatisation, vectorisation, text classification and sentiment analysis.
- Week 6: RNN/LSTM, attention, transformers, embeddings, positional information, encoder/decoder, context and responsible AI.
- Week 7: Prompt design, system context, few-shot examples, LLM APIs, JSON/streaming, error handling, API-key security and chat memory.
- Week 8: Embeddings, vector databases, FAISS/Chroma, chunking, similarity, retrieval and semantic search.
Create a sentiment analyser, generative AI assistant and semantic document search.
03Month 3 · RAG, agents and applied AI delivery
- Week 9: Load/split documents, retrieve context, generate answers, cite sources, use metadata and evaluate RAG quality.
- Week 10: Function calling, tools/APIs, web search, analysis, agent workflows, limitations and human oversight.
- Week 11: Full-stack integration with React, Flask/FastAPI, databases, authentication and AI features.
- Week 12: Docker, cloud deployment, cost/monitoring, capstone documentation, presentation and demonstration.
Build and present a full-stack AI application, such as a cited document assistant or research workflow.
LEARNING YOU CAN SHOW
Build your portfolio.
Tell your story.
Exploratory data analysis
Prediction model
Neural-network classifier
Image classification
Sentiment analysis
Generative AI assistant
Semantic search
RAG document assistant
Full-stack AI capstone
YOUR NEXT STEP
Take the roadmap with you.
Get the complete original brochure and connect with our team.
Curriculum based on the supplied EngineersCompass brochure. Batch timings, tool access, cloud/advertising budgets and completion conditions are confirmed at enrollment. External certification exams and employment are not guaranteed.