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
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- Embark on a transformative journey from novice to expert in the rapidly evolving field of Generative Artificial Intelligence.
- This comprehensive program demystifies the complexities of Generative AI, equipping you with practical skills to conceptualize, build, and deploy cutting-edge AI solutions.
- Navigate the core principles of creating intelligent content and applications that understand, reason, and generate human-like text, code, and more.
- Gain hands-on experience with the essential tools and techniques that form the backbone of modern Generative AI development.
- The curriculum is meticulously designed to foster a deep understanding of both theoretical foundations and practical implementation, ensuring you’re not just a user of AI, but a creator.
- Experience a structured learning path that prioritizes actionable knowledge, enabling you to contribute meaningfully to AI projects from day one.
- Discover the power of large language models and learn how to harness their capabilities for diverse real-world applications.
- The November 2025 update ensures you are learning with the latest methodologies and tools in the Generative AI landscape.
- This course is more than just a technical training; it’s an immersion into the future of technology and innovation.
- Requirements / Prerequisites
- A foundational understanding of programming concepts, ideally with Python, will significantly enhance your learning experience.
- Familiarity with basic command-line operations is beneficial for local model deployment and tool management.
- Curiosity and a strong desire to explore and experiment with artificial intelligence are paramount.
- Access to a computer with sufficient processing power and RAM for running local models is recommended, though cloud-based alternatives will be discussed.
- An internet connection is required for accessing course materials, downloading tools, and utilizing cloud-based services.
- No prior experience with machine learning or deep learning is strictly necessary, as the course builds from the ground up.
- Basic analytical and problem-solving skills are advantageous for tackling the challenges inherent in AI development.
- Skills Covered / Tools Used
- Master the art of communicating effectively with AI models through sophisticated prompting strategies.
- Gain proficiency in managing and fine-tuning the behavior of Large Language Models (LLMs) for desired outputs.
- Become adept at deploying and interacting with LLMs directly on your own hardware using Ollama.
- Develop the ability to construct intricate AI applications and workflows by orchestrating various AI components with LangChain.
- Learn to build systems that can access and process external information, enabling AI to provide more accurate and contextually relevant responses.
- Acquire the skills to create intuitive and interactive graphical interfaces for your AI applications.
- Explore the potential of running AI models directly on mobile and edge devices, opening doors to new deployment scenarios.
- Familiarize yourself with the core components of the Generative AI ecosystem, including LLMs, vector databases, and application frameworks.
- The course leverages Python as the primary programming language for practical implementation.
- Key tools include Ollama for local LLM management, LangChain for application development, Streamlit for UI design, and exploration of Qualcomm AI Hub for edge deployment.
- Benefits / Outcomes
- Unlock the potential to create novel content, automate complex tasks, and drive innovation across various industries.
- Position yourself at the forefront of the AI revolution with highly sought-after and in-demand skills.
- Gain the confidence and practical expertise to build and deploy your own Generative AI applications.
- Enhance your career prospects by acquiring a skill set that is rapidly shaping the future of technology.
- Develop a robust portfolio of projects demonstrating your mastery of Generative AI principles and tools.
- Become a problem-solver capable of leveraging AI to address real-world challenges and create impactful solutions.
- Understand the ethical considerations and best practices associated with developing and deploying Generative AI.
- Empower yourself to stay ahead of the curve in a continuously evolving technological landscape.
- The 10.4 hours of focused learning translate into a significant leap in your AI capabilities.
- PROS
- Comprehensive coverage from foundational prompting to advanced application building.
- Hands-on experience with essential, industry-relevant tools like Ollama and LangChain.
- Practical focus on building deployable AI solutions, not just theoretical knowledge.
- Up-to-date content ensuring relevance in the fast-paced AI domain.
- Empowers learners to run LLMs locally, offering control and cost-efficiency.
- CONS
- Requires dedicated practice and experimentation to fully internalize the concepts and master the tools.
Learning Tracks: English,Development,Data Science