Foundations of AI
Begin with the fundamentals of artificial intelligence, machine learning concepts, and the AI ecosystem. Build a solid understanding of key principles and terminology.
AI Bootcamp
Strategic IT solutions that drive efficiency and business growth.
AI Bootcamp Journey
Transform your team with our comprehensive AI training program. From fundamentals to advanced applications, our bootcamp equips your organization with the skills to leverage AI effectively.
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Bootcamp Overview
A transformative learning experience designed for professionals at all levels
12 Weeks
Intensive program with flexible scheduling options
Small Groups
Limited class size for personalized attention
Hands-on Projects
Apply concepts to real-world business challenges
Certification
Industry-recognized credentials upon completion
Your AI Bootcamp Journey
A structured path to AI proficiency
1
Technical Skills Development
Develop practical skills in Python programming, data manipulation, and essential libraries for AI development. Learn to implement basic machine learning algorithms.
2
Advanced AI Applications
Explore specialized areas such as computer vision, natural language processing, and reinforcement learning through hands-on projects and case studies.
3
Business Implementation
Learn to identify AI opportunities in business contexts, develop implementation strategies, and measure the impact of AI solutions on organizational goals.
4
Curriculum Highlights
Comprehensive coverage of essential AI topics
AI & Machine Learning Fundamentals
Develop a comprehensive AI roadmap aligned with your business objectives.
- Introduction to AI concepts
- Supervised vs. Unsupervised Learning
- Neural Networks Architecture
- Ethical Considerations in AI
Technical Implementation
- Python for Data Science
- TensorFlow & PyTorch Frameworks
- Data Preprocessing Techniques
- Model Training & Evaluation
Business Applications
Expert guidance throughout the implementation of your AI initiatives.
- AI Strategy Development
- Use Case Identification
- Implementation Roadmaps
- ROI Measurement & Optimization
Art of Possible with GenAI
Master the cutting-edge technologies shaping the future of business
What You Will Learn
- Learn prompt engineering best practices for application development
- Discover new ways to use LLMs, including how to build your own custom chatbot
- Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment
- Gain hands-on practice writing and iterating on prompts yourself using the GenAI models
- Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners
- Describe in detail the transformer architecture that powers LLMs, how they're trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases
- Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project
Course Outcomes
- Understand how to apply GenAI to mission critical business operations
- Solve real world business problem immediately
- Understand how cutting edge GenAI stack changes your existing engineering workflows
Topics Covered
Python for GenAI
Prompt Engineering
Basics of Neural Network
Model Fine-tuning
Embeddings
Retrieval Augmented Generation
Chatbot/Assistant systems
MLOps
Vision and Voice GenAI
AI Agents
Program Details
-
Timeline
5 hours/week for 8 weeks
-
Format
Interactive lectures & hands-on demos
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Projects
19 live demo applications
Who Should Join?
-
Software Engineers
Developers looking to integrate AI into their applications
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IT Employees
IT professionals with understanding of Engineering mathematics
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Engineering Students
Undergraduate and Graduate students in Engineering
8-Week Curriculum
Basics for GenAI
- New GenAI stack
- Current and future opportunities in GenAI
- Python for GenAI
- Basics of Prompt Engineering
- Basics of Neural Network/Linear Algebra/Probability
- Vibe Coding
Text/Vision AI
- Embeddings
- Retrieval Augmented Generation (NLP)
- Semantic Search systems using AI
- AI for Computer Vision
- Multimodal RAG- Chat with Videos
AI Agents and Reasoning
- Multi-Agentic Design Patterns
- Function calling
- Browser Use
- Build your own AI agent in 60 minutes
- Reasoning AI models
- Planning in AI models
- Meta Prompting
Fine Tuning and Deployment
- Why finetune
- Tricks to improve accuracy and performance
- Finetuning methods for AI models
- AI inference
- HIPAA/SOC2/Fedramp for AI inference
Production AI - LLMOps and AI evaluation
- AI Orchestration
- Tokens, Latency, Accuracy and Throughput 101
- A/B testing AI models
- AI Benchmarking
- Evaluation pipelines in production
Vertical AI
- AI for Medicine and Life Science
- AI for Finance
- AI for Government
- AI for Education
- AI for Media & Entertainment
Software systems for AI
- AI frameworks
- Data engineering
- Compute and Storage
- Open Source AI
- Front-end for AI
Future of AI
- Agents in 2026
- Reinforcement learning
- AI Snake Oil
Live Demo Projects
Conversational AI
Smart Assistant and Chatbot
Document AI
Intelligent Document processing
NLP
Meeting summarization
Generative AI
Image and Video Generator
Voice AI
Voice powered AI Agents
Privacy AI
PHI/PII data masking
Predictive AI
Demand forecasting
Computer Vision
Video processing (Face recognition - Attendance system)
Medical AI
Healthcare Diagnostics
Database AI
Talking to database (NL2SQL)
Sentiment AI
Emotion detection
AR/AI
Virtual try ons
Health AI
Personalized Health Monitoring
Marketing AI
Content Creation for Marketing
Travel AI
Travel Planning Assistants
Search AI
Semantic Search
Video AI
Video search and synthesis
Computer Vision
Object Detection
E-commerce AI
Personalized shopping and recommendation
Success Stories
Hear from our bootcamp graduates
The DataLabs AI Bootcamp transformed my career. The hands-on approach and expert instructors helped me implement AI solutions that delivered immediate value to my organization.
James Wilson
Data Scientist, TechCorp
As someone with limited technical background, I was amazed at how accessible the bootcamp made AI concepts. Now I can confidently lead AI initiatives in my department.
Elena Rodriguez
Marketing Director, Global Retail
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