What will you in The AI Engineer Course 2025: Complete AI Engineer Bootcamp Course
Master core AI engineering principles, from foundational AI concepts to advanced large language models.
Develop proficiency in Python for NLP, data processing, and AI model integration.
Build and deploy NLP pipelines and speech-to-text applications using Transformers and Hugging Face.
Create end-to-end AI applications with LangChain, vector databases, and external APIs.
Gain practical experience through real-world business case solutions and a capstone project.
Program Overview
Module 1: Intro to Artificial Intelligence
⏳ 45 minutes
Explore structured vs. unstructured data, supervised and unsupervised learning.
Understand generative AI, foundational models, and their business applications.
Module 2: Python Programming
⏳ 60 minutes
Set up Python and Anaconda; write scripts for data manipulation and model interaction.
Leverage Python libraries for AI development, including NumPy and pandas.
Module 3: Intro to NLP in Python
⏳ 60 minutes
Preprocess text: tokenization, embedding, and vectorization techniques.
Build simple NLP pipelines for sentiment analysis and text classification.
Module 4: Introduction to Large Language Models
⏳ 75 minutes
Dive into Transformer architecture, GPT, BERT, and XLNet fundamentals.
Hands-on: fine-tune pre-trained LLMs using Hugging Face frameworks.
Module 5: Building Applications with LangChain
⏳ 45 minutes
Chain interoperable components to create reasoning workflows.
Develop AI-driven apps integrating LLMs, databases, and custom logic.
Module 6: Vector Databases
⏳ 45 minutes
Understand vectorization concepts and use Pinecone for high-dimensional data.
Optimize similarity searches and scalable AI deployments.
Module 7: Speech Recognition with Python
⏳ 45 minutes
Process audio data, build acoustic models, and convert speech to text.
Implement end-to-end speech-to-text pipelines using Transformers.
Module 8: Real-World AI Business Cases
⏳ 60 minutes
Apply learned skills to solve business problems with case-study solutions.
Prepare for capstone project: from problem framing to deployment.
Get certificate
Job Outlook
High Demand: AI Engineers are among the fastest-growing roles in tech, with companies seeking end-to-end AI solution builders.
Career Advancement: Deep understanding of LLMs and MLOps can accelerate progression to Senior AI Engineer or AI Architect positions.
Salary Potential: U.S. AI Engineers command average salaries of $120K–$150K per year.
Freelance Opportunities: Expertise in Hugging Face, LangChain, and vector databases opens doors to consultancy and project-based work.
Specification: The AI Engineer Course 2025: Complete AI Engineer Bootcamp
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