Complete course on Generative AI: Prompting Engineering, Running LLMs locally (Ollama), Building AI apps using LangChain
β±οΈ Length: 10.4 total hours
π November 2025 update
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- Course Overview
- Embark on a comprehensive journey from novice to proficient in the rapidly evolving field of Generative AI.
- This skillpath provides a foundational understanding and practical application of cutting-edge Generative AI techniques, empowering you to harness the power of AI for innovative solutions.
- Designed for ambitious learners, it bridges the gap between theoretical concepts and real-world implementation, enabling you to create sophisticated AI-powered applications.
- Through hands-on exercises and project-based learning, you will gain the confidence and competence to tackle complex AI challenges.
- The course is meticulously structured to ensure a smooth learning curve, starting with fundamental principles and progressing to advanced deployment strategies.
- Gain insights into the inner workings of Large Language Models (LLMs) and learn to manipulate their behavior for specific tasks.
- Discover the art and science of crafting effective prompts that unlock the full potential of AI models.
- Understand the advantages and nuances of running LLMs locally, offering greater control and customization.
- Master the LangChain framework, a powerful tool for orchestrating complex AI workflows and building intelligent applications.
- Explore the integration of LLMs with external data sources to enhance accuracy and relevance through Retrieval-Augmented Generation.
- Learn to build intuitive and interactive user interfaces for your AI creations.
- Get a glimpse into the future of AI with an introduction to on-device deployment solutions.
- Requirements / Prerequisites
- A foundational understanding of programming concepts, ideally with a focus on Python, is recommended.
- Familiarity with basic command-line operations will be beneficial.
- A desire to learn and experiment with artificial intelligence technologies is essential.
- Access to a computer with internet connectivity is required for course materials and practical exercises.
- No prior experience with Generative AI is necessary, as the course starts from the basics.
- Enthusiasm for problem-solving and creative application of technology is highly valued.
- Skills Covered / Tools Used
- Prompt Engineering: Crafting nuanced and effective instructions for AI models.
- LLM Customization: Fine-tuning AI behavior through parameter adjustments.
- Local LLM Deployment: Setting up and running AI models on your own hardware.
- AI Application Development: Building end-to-end AI solutions.
- Data Augmentation: Enhancing AI outputs with external information.
- User Interface Design: Creating user-friendly interfaces for AI applications.
- Vector Databases: Understanding and utilizing specialized databases for AI.
- On-Device AI: Exploring deployment strategies for edge computing.
- Tools: Ollama, LangChain, Streamlit, Qualcomm AI Hub (introduction).
- Benefits / Outcomes
- Become a capable Generative AI practitioner, ready to contribute to innovative projects.
- Develop the ability to design, build, and deploy sophisticated AI applications.
- Gain a competitive edge in the job market by acquiring in-demand Generative AI skills.
- Empower yourself to automate tasks, generate creative content, and solve complex problems using AI.
- Build a portfolio of practical AI projects that showcase your newfound expertise.
- Understand the ethical considerations and best practices in Generative AI development.
- Acquire the confidence to explore and adapt to future advancements in AI technology.
- Enhance your problem-solving capabilities through a deeper understanding of AI’s potential.
- Position yourself as a forward-thinking individual in the age of artificial intelligence.
- PROS
- Comprehensive Curriculum: Covers a broad spectrum of essential Generative AI topics from foundational to advanced.
- Hands-on Practicality: Emphasizes practical application with tools like Ollama and LangChain, ensuring real-world skill development.
- Future-Proof Skills: Equips learners with knowledge highly relevant to current and future technological trends.
- Beginner-Friendly: Designed for individuals with minimal to no prior Generative AI experience.
- Local Control: Provides the valuable skill of running LLMs locally, offering greater autonomy and customization.
- Project-Oriented: Focuses on building actual AI applications, fostering a tangible learning experience.
- Up-to-Date Content: Includes a recent November 2025 update, ensuring relevance in a fast-paced field.
- CONS
- The course is extensive, requiring a significant time commitment to fully absorb all the material.
Learning Tracks: English,Development,Data Science
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