Generative AI to AI Agents
What you will learn
Explore how generative AI, Prompt engineering and AI Agents transforming fields like Marketing, HR, Coding and Business Strategy
Explain the meaning of Generative AI
Identify the common output types of generative AI systems.
Explain the meaning of AI Agents
Explore some Common Tools of Generative AI & AI Agents.
Explain the meaning of Large Language Model (LLM) is and why it is called “large” language Model.
Analyse the key Characterstics of LLM:Natural Language Processing (NLP), Generative Capabilities, Contextual Understanding, Continuous Learning
Describe the concept of a prompt and the role of prompt engineering.
Break down the core components of a well-structured prompt: task, context, data input, output format.
Explore Zero-shot, One-shot, and Few-shot prompting techniques.
Identify and apply various types of modifiers: length, comparative, role-based, style, perspective, format, scenario-based, and instruction-based.
Analyze how model parameters (tokens, temperature, top-k, top-p) influence AI-generated content.
Explore the advanced Prompting techniques like:Chain Of Thought, Iterative and Tree of Thought Prompting.
Apply these techniques in real-world case studies.
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- Unlock the transformative power of Generative AI across diverse industries.
- Gain a strategic edge by harnessing AI to automate creativity and innovation.
- Master the art of crafting precise prompts to command intelligent AI systems.
- Bridge the gap between human intent and machine output with expert prompt engineering.
- Develop a critical understanding of how AI Agents operate and collaborate autonomously.
- Navigate the evolving landscape of AI tools and platforms with confidence.
- Leverage Large Language Models as powerful co-pilots for complex tasks and problem-solving.
- Architect intelligent workflows that adapt and learn using advanced AI Agent principles.
- Design bespoke AI-driven solutions for real-world business challenges.
- Transform raw ideas into polished, actionable content through advanced prompting techniques.
- Cultivate the ability to troubleshoot and refine AI-generated outputs effectively.
- Shape the future of human-AI collaboration in professional and creative settings.
- Become a visionary in applying AI to redefine productivity and problem-solving.
- Explore ethical considerations and best practices in deploying generative AI responsibly.
- Empower yourself to steer AI towards desired outcomes with precision and control.
- Drive innovation in marketing, HR, coding, and strategic planning with targeted AI applications.
- Prepare for a future where AI Agents augment human capabilities significantly.
- Position yourself as an indispensable expert in the burgeoning AI economy.
- Develop the foresight to anticipate AI’s next evolutionary leaps and adapt accordingly.
- Equip yourself with the skills to lead AI adoption and innovation within any organization.
- Harness AI to automate repetitive tasks, freeing up human potential for strategic initiatives.
- Discover how to build and orchestrate simple multi-agent AI systems for complex workflows.
- PROS:
- Gain highly sought-after, future-proof skills immediately applicable across diverse industries.
- Hands-on practical experience ensures you can confidently apply concepts from day one.
- Designed for rapid upskilling, allowing you to become an AI leader without extensive prior knowledge.
- Network with peers and instructors who are at the forefront of AI innovation and application.
- CONS:
- The fast-paced evolution of AI technology may require continuous self-study beyond the course for long-term relevance.
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