Welcome to
AI Bootcamp
Course Syllabus and Content
Week 1
Onboarding & Tooling
8 Lessons
- 01AI Onboarding & Python EssentialsSneak Peek
- 02Course Introduction and PhilosophySneak Peek
- 03Setting Up Accountability and ToolsSneak Peek
- 04Python, Google Colab & Jupyter Notebooks for AISneak Peek
- 05Arrays, Vectors & Tensors in Practice for Foundational KnowledgeSneak Peek
- 06Mathematical Foundations for MLSneak Peek
- 07Statistics and Data PreprocessingSneak Peek
- 08Probability and Tensor BasicsSneak Peek
Week 2
AI Projects and Use Cases
7 Lessons
- 01Understanding LLM Projects and ModalitiesSneak Peek
- 02LLM Use Cases Across IndustriesSneak Peek
- 03Limitations of LLMsSneak Peek
- 04LLM Inference BasicsSneak Peek
- 05Building Your First LLM ApplicationSneak Peek
- 06Introduction to AI-Centric EvaluationSneak Peek
- 07Mini-Project: Synthetic Data Generation with EvaluationSneak Peek
Week 3
Prompt Engineering & Embeddings
6 Lessons
- 01Foundational Prompt EngineeringSneak Peek
- 02Building and Evaluating PromptsSneak Peek
- 03Advanced Prompting with Context EngineeringSneak Peek
- 04Text to Tokens to EmbeddingsSneak Peek
- 05Working with EmbeddingsSneak Peek
- 06Multimodal Embeddings for RetrievalSneak Peek
Week 4
Multimodal + Retrieval-Augmented Systems
7 Lessons
- 01Introduction to CLIP and Multimodal EmbeddingsSneak Peek
- 02Prompt Engineering with ImagesSneak Peek
- 03Advanced Multimodal TasksSneak Peek
- 04RAG Pipeline OverviewSneak Peek
- 05Vector Databases and Query OptimizationSneak Peek
- 06RAG Evaluation & ImplementationSneak Peek
- 07Mini-Project: Incremental RAG Evaluation for PDF LecturesSneak Peek
Week 5
Classical Language Models
5 Lessons
- 01Introduction to N-Gram ModelsSneak Peek
- 02Building and Sampling N-Gram ModelsSneak Peek
- 03Evaluating N-Gram ModelsSneak Peek
- 04Neural N-Gram ModelsSneak Peek
- 05Contrastive Loss for EmbeddingsSneak Peek
Week 6
Attention & Finetuning
7 Lessons
- 01Motivation for Attention MechanismsSneak Peek
- 02Mechanics of Self-AttentionSneak Peek
- 03Implementing Self-AttentionSneak Peek
- 04Multi-Head Attention & Mixture of Experts (MoE)Sneak Peek
- 05Instructional Finetuning & LoRASneak Peek
- 06Reinforcement Learning FinetuningSneak Peek
- 07Finetuning Case StudiesSneak Peek
Week 7
Architectures & Multimodal Systems
5 Lessons
- 01Feedforward Networks in TransformersSneak Peek
- 02FFN Components & TrainingSneak Peek
- 03Multimodal Finetuning with CLIPSneak Peek
- 04Advanced Multimodal ApplicationsSneak Peek
- 05Mini-Project: Generating Synthetic Data & Finetuning for EvaluationSneak Peek
Week 8
Assembling & Training Transformers
5 Lessons
- 01Building a Full TransformerSneak Peek
- 02Debugging & Testing TransformersSneak Peek
- 03Monkeywrenching into LLaMASneak Peek
- 04Advanced RAG SystemsSneak Peek
- 05RAG Evaluation and OptimizationSneak Peek
Week 9
Specialized Finetuning Projects
4 Lessons
- 01CLIP Finetuning for InsuranceSneak Peek
- 02Deploying Finetuned CLIP ModelsSneak Peek
- 03Math Reasoning with SymPySneak Peek
- 04Tool-Augmented FinetuningSneak Peek
Week 10
Advanced RLHF & Engineering Architectures
4 Lessons
- 01Preference-Based FinetuningSneak Peek
- 02Evaluating Preference AlignmentSneak Peek
- 03Reverse Engineering Vibe Coding AgentsSneak Peek
- 04Designing AI Code AgentsSneak Peek
Week 11
Agents & Multimodal Code Systems
4 Lessons
- 01Agent Design PatternsSneak Peek
- 02Agent Architectures and ToolkitsSneak Peek
- 03Text-to-SQL SystemsSneak Peek
- 04Text-to-Voice PipelinesSneak Peek
Week 12
Deep Internals & Production Pipelines
4 Lessons
- 01Positional Encoding in TransformersSneak Peek
- 02DeepSeek-V3 ArchitectureSneak Peek
- 03LLM Production ChainSneak Peek
- 04LLMOps & Scalable ServingSneak Peek
Week 13
Enterprise LLMs, Hallucinations & Career Growth
4 Lessons
- 01RAG in Enterprise SettingsSneak Peek
- 02Evaluating Model TrustworthinessSneak Peek
- 03AI Career Roles and PreparationSneak Peek
- 04Bonus ContentSneak Peek