Specialized Tech Skills + Career Support — SolelyBootcamp AI Program

The Solely AI & Machine Learning Bootcamp

The SolelyBootcamp Artificial Intelligence & Machine Learning bootcamp equips you with the skills and knowledge needed to excel in this rapidly growing field. This immersive program covers theoretical knowledge and practical skill-building in 16 weeks, helping you to become a confident practitioner.

You'll build proficiency in popular frameworks and tools such as Python, Pandas, TensorFlow, Scikit-Learn, TensorFlow, NLTK, etc., preparing you for roles such as AI Engineer, ML Engineer, and much more.

Artificial Intelligence and Machine Learning Skill Requirements

As the applications of artificial intelligence increase across all major industries, tech professionals with concentrated AI and machine learning experience are more in demand than ever before. The PwC 2024 Global AI Jobs Barometer reports that the demand for AI jobs is growing 3.5x faster than all other jobs globally. Specialization in this rapidly growing field may require different skills—depending on your unique professional experience and goals—but successful AI & machine learning professionals are typically proficient in many of the following concepts and technologies.

• Data science processes, data wrangling, data exploration, and hypothesis building and testing

• Applied data science with Python

• Machine learning models and accuracy metrics

• Deep learning concepts and their relevant applications and tools, such as Keras, Python, and TensorFlow

• Text-to-speech conversion with automated speech recognition

• Deep neural networks

• Conversational AI models, prompt engineering, and GenAI tools like ChatGPT, Microsoft BingAI, Google Gemini, Anthropic Claude, and GPT4all

Learn more about who our bootcamp is for and how to build or expand a lucrative data and AI career below.

What You’ll Learn in the SolelyBootcamp AI & Machine Learning Program

The part-time Artificial Intelligence and Machine Learning Bootcamp is divided into 5 units. Starting with programming fundamentals, you’ll quickly move into more advanced AI and machine learning concepts—In each of the following units, you will have the opportunity to work on a project based on a real-world scenario, helping you to apply your skills in practical applications..

• Pre-work

  • Get access to pre-work materials
    • Access to pre-work material to get you started. It must be completed before the first day of class and, then, join our SolelyBootcamp classroom!
• Programming & AI Engineering

  • Python3 & Advanced Data Handling
  • Distributed training（DeepSpeed、FSDP、pipeLine）
  • Intro to AI Engineering & Command-Line Workflows
  • NumPy & Pandas for Data Analysis
  • AI training framework & inference engine（PyTorch、vLLM、TensorFLow、TensorRT）
  • AI Compilation & Computing Architecture（CUDA、CANN）
  • SQL Database: PostgreSQL + TimescaleDB for time-series、Graph Database: Neo4j、Feature Store: Hopsworks
  • Search system（Vector retrieval、ANN、Faiss）
• ML & Deep Learning Advanced

  • Model Development & Operations（scikit-learn、PyTorch、Spark、TensorFlow、XGBoost、LLM fine-tuning、Model Registry、FastAPI、TorchServe、Redis）
  • Supervised & Unsupervised Learning
  • Naïve Bayes Classifier Algorithm、K Means Clustering Algorithm、Support Vector Machine Algorithm、Linear Regression、Logistic Regression、Decision Trees、Random Forests、Nearest Neighbours
  • Integrated or built applications with LLMs (OpenAI、HuggingFace、Ollama、vLLM), with an understanding of prompt engineering, function calling, and structured outputs
  • Deep learning techniques like convolutional, and recurrent neural networks, and generative adversarial networks
  • Training neural networks using Keras and TensorFlow
  • Build and own end-to-end ML pipelines spanning data、 training、 evaluation、 inference、 and deployment
  • Reinforcement Learning
• Specialisation NLP & GenAI

  • Natural Language Processing & Word Embeddings（text representation、semantic extraction techniques、data structures and modeling）
  • GenAI Fundamentals
  • AI language models (GPT、Llama、Claude)
  • AI libraries/frameworks (LangChain、LangGraph、Pydantic AI、LangSmith、LlamaIndex、Hugging Face,and OpenAI or Anthropic APIs)
  • Cloud Platforms for AI Development（AWS SageMaker、Google Cloud AI）
  • Vector Databases & Knowledge Graphs
  • Chatbot Development & AI Agents
• Deployment and MLOps Tools

  • APIs and API Development
  • Remote Servers & Docker
  • Kubernetes + Kubeflow、Apache Airflow
  • CI / CD Pipelines
  • Microsoft Azure
  • Developer Experience: Strong testing discipline (TDD), clean code, GitHub workflows (PRs, reviews, CI), and internal tooling mindset

AI & Machine Learning Bootcamp Tools & Technologies

Throughout this program, you’ll learn to use a range of in-demand digital tools to build practical, hands-on AI and machine learning skills. Some of the tools you’ll develop proficiency in include:

AI & Machine Learning Bootcamp Projects

As a part of this program, you’ll have opportunities to apply your skills in industry-relevant projects to solve real-world challenges. These projects will help validate your proficiency with AI and machine learning tools and technologies, plus you can feature them in your professional portfolio to showcase to potential employers. Here are some examples (projects based on product content developed by senior AI/ML engineers at major companies like FAANG. For more details, you can participate in SolelyBootcamp 1-on-1 trial lesson):

• Google ConsumerDecision Agent Platform

  • Core Competencies: Stateful system、Policy/Trade-off、Failure&rollback strategy、Offline evaluation
    Technical Highlights: Python/JVM/Go、LLM + Tool Calling、Rule Engine、Offline RL/Imitation Learning、Logging + Monitoring + Audit Trail、Constraint optimization、Causal analysis、Long-horizon planning
• Meta - Recommendation System at Scale

  • Core Competencies: Large-scale recommender system + real-time data streaming、Build an end-to-end recommender system,including data pipeline, embedding retrieval, ranking model serving, and online A/B testing.
    Technical highlights: Kafka stream + FAISS + TorchServe + MLflow + Prometheus monitoring
• OpenAI LLM Infra - OptimizingModel Serving for Low Latency

  • Core Competencies: Inference optimization + system performance scheduling、Simulate OpenAI production; build high-concurrency, low-latency inference architecture
    Technical highlights: vLLM + Ray Serve +Elastic Batching+ GPU Utilization Tracker
• Token-Aware LLM API Platform for Anthropic-style Infra

  • Company: OpenAl、Salesforce
    Technical highlights: KV-cache reuse, batch inference, and latency tracking、Canary rollout, auto-rollback, and multi-version prompt registry、Use RAG pipeline built with Azure, LangChain, and FAISS、Feedback-signal logging for future DPO / RLHF feedback integration
• AgentHub: Enterprise-Grade Multi-Agent Collaboration Platform

  • Company: Meta、NVIDIA
    Technical highlights: LangGraph v0.3 + CrewAI + AutoGen — dynamic role assignment (agents can change roles at runtime, e.g., Researcher ↔ Reviewer)、Context Fabric — vector DB + temporal store; compression via Graph-of-Thoughts + semantic sketch; cross-modal context linking (docs, images, task tables) to save tokens、Inference runtime — vLLM + FlashAttention-3 + speculative decoding; KV-cache multiplexing; hot-pluggable LoRA adapters; serving: Triton Inference Server + TensorRT-LLM、Observability & debugging — ExecutionGraph visualization; OpenTelemetry → ClickHouse; single-agent and end-to-end replay testing

Capstone Project

The capstone project is the culmination of all the previous skills taught in the bootcamp. You will choose a data analysis subject that interests you, build and fine-tune a model with AI techniques, and present your findings.

AI & Machine Learning Capstone Project Overview

Watch AI & machine learning instructor, Janet Flores, discusses a capstone project example that involves creating a recommender system.

AI & Machine Learning Bootcamp Student Project: Autonomous Driving Vehicles

Watch one capstone project example from an AI & Machine Learning bootcamp graduate that focuses on autonomous driving vehicle accidents and object detection.

Career Success Program for the AI & Machine Learning Bootcamp

Students will gain valuable insight into how to build a successful career in the field of AI and machine learning. Throughout the bootcamp experience, students may access live workshops, office hours, and asynchronous modules to help build a job search toolkit—which includes an optimized resume and LinkedIn profile.

Following successful completion of the program, bootcamp graduates can choose to opt into the SolelyBootcamp Career Success Program and access up to a year of 1:1 personalized career coaching and guidance in:

• Growing your professional network

• Resume and LinkedIn profile optimization

• Interview and assessment prep

• Salary negotiation workshops

• And much more!

You’ll also graduate from the program with a portfolio of work that demonstrates your ability to solve real business problems for real companies.

SolelyBootcamp Graduates Get Hired

SolelyBootcamp grads have landed jobs with some of the world's leading companies.